Marcin, who worked in worked in V and C-suite in Global Leadership Team in some of the largest corporations inc. ZEISS Group, is brilliant in breaking down the very complex topics and give actionable insights. We’ve had a great chat and recorded so far the longest episode on AYH. In this episode, Marcin Bauza shared insights on innovation, AI, and problem-solving in manufacturing and technology. He emphasised the importance of modularity and flexibility in technological solutions, contrasting this with traditional monolithic approaches. Marcin discussed how AI can complement human skills rather than replace them, and highlighted the need to distinguish between AI hype and genuine innovation. He stressed the importance of empowering teams, learning from failures, and maintaining a forward-thinking approach to stay competitive.

Marcin also shared his current work on closing the loop in manufacturing processes, potentially revolutionising the industry. Throughout the conversation, he emphasised the value of collaboration, smart work over hard work, and the need for businesses to adapt to changing technologies and market demands. His experiences provide valuable lessons for leaders and innovators in navigating the challenges of technological advancement and corporate innovation.

Enjoy the listen!

Transcript:

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the customer’s waiting everything’s

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happening and there was the moment when

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I looked in the mirror and I thought

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myself oh my God this is going to be a

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terrible because the whole company was

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supporting this and building machines

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and there tens of Millions on the

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line the leadership of a company did not

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even realize we had such a crisis we’ve

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been able to sorted out my boss knew

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that and but he was so calm and this is

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what I really appreciate with him and

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after all this project when everything

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ended I’ve asked him a question I

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mentioned about those stairs because he

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was always using this head hey Rich how

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many stairs did I had and he said um I I

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think about 10 and I said and you didn’t

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grab my hand you didn’t stop me he said

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nobody could stop you at that point

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are you

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[Music]

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human one two one two welcome to another

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eye opening uh episode of are you human

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I’m absolutely thrilled uh about today’s

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guest Martin bowza Martin is a kind of

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of person who doesn’t just talk about

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Innovation he lives and breath it

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breathes

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it he is a brilliant mind at the

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intersection of AI uh smart

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manufacturing and business strategy he’s

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taken corporate world by storm

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transforming how companies approach

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technology integration and profit growth

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during his time at si uh Marin LED teams

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that turned the sci-fi like Concepts

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into real world uh Solutions but Martin

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is not contents at least not only uh

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with corporate success he’s now

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channeling his expertise into his own

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statup for mp uh pushing the boundaries

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of what’s possible in smart

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manufacturing and I’m lucky to say that

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um Martin has also recently taken uh

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Advisory Board role at our company and

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fight where he helps our clients

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approach Innovation and decision

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intelligence from a much smarter angle

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in today’s episode we are talking about

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leveraging emerging Tech to stay ahead

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in today’s market trust me whether you

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are working in manufacturing or not you

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don’t want to miss it so let’s dive in

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Martin it’s not so a long time ago that

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I’ve seen you I don’t know about you but

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you know since you and I uh we are both

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polish I still have after so many years

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I still have those this weird feeling

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when I speak someone with someone who is

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Polish uh in English do you have the

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same thing um yeah it’s I have this

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switch in my head so at home I speak

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Polish my wife speaks Polish my kids

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they uh they bage well and um but I

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automatically starts when I’m in

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business I speak English and um what is

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strange for me when I need to explain

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things in business wise business-wise in

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Polish that’s not something that that is

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um normal it’s so automatic at home I’m

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automatically polish outside I’m

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automatically English and uh however

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like you like you said when we uh when

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we speak

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uh in person uh we speak Polish but um

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English is is perfectly fine yeah it’s

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International but also um so many

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Concepts so many things are easier and

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faster to explain in

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English uh I think so um what I also

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found that a lot of my technical F uh

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vocabulary um I acquired when I was in

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the US and I often search for polish

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word if I want to explain something in

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Polish um which is a technical nature it

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feels like oh he forgot his language no

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I did not forgot I’ve never learned that

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word because it’s so specialized and uh

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and this is um this is something

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interesting especially that I have not

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started learning English until I was 23

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oh really it to so for for people who

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don’t know you would be great to

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understand your transition your journey

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uh you were raised in Poland and then

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you moved to us and you ended up working

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in quite um high level senior uh roles

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um in quite technical uh background so

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maybe just give us a little bit of um

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you know history of your of your

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professional and personal if you wish uh

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Journey uh sure uh I was born still

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behind the Iron Curtain um and that was

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that was a time and um to be frankly

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honest I’ve never imagined myself as

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um leaving abroad a speaking for

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language um I started learning Russian

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and then German but I’ve never spoken

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those languages it was always very

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painful um and then when I studied that

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post University of Technology I had a

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professor who um I really I seen that he

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can speak English he can um he was

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always talking about U International um

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research and um I realized okay if I

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would like to do more than a master

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degree if I would like to um do a a

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research I need to know English so that

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was a motivator um I started studying

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English and um one of the things there

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was um a

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breakthrough um in one of the Summers

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right when I started um a group from us

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uh came called bridges for education and

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they they stayed with us for three weeks

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and the purpose was to teach us English

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and amazingly after three weeks I was

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able to make some level of communication

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it was very broken was it after or

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before or like without

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vodka no no no it was no there was no

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vodka actually in in this process okay

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it’s which which is very no no it was it

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was very it was very uh very nice and

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and I have to say that I was impressed

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that I can communicate with someone with

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different language this is amazing I’ve

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never thought that I could ever do this

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and this was only 3 weeks but I spent a

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lot of time with them and that motivated

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me okay let’s let’s take some more

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classes let’s spend

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time three years

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later I was doing my PhD in the

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US why did you choose why did you choose

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uh us and not Britain which was which is

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closer home closer to home it’s a pure

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coincidence um I was studying a

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Metrology which is a science of

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measurement and um one of the professors

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had he was on a bigger conference and

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and someone from us was a center for

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Precision Metrology at UNC Charlotte was

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there uh Professor J Raja and he he was

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looking for students uh to join the

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program and um he asked him do you have

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anybody who may be interested and I

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received that note and uh back then was

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um I was okay yeah sure I I can try I

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already been I already started my PhD in

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Poland in polymer processing it’s a very

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different field and um and then I I said

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fine um then I’ve learned uh well you

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need to pass a GRE test asking what is a

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GRE test this was year 2001 so there was

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no such thing as you go to internet and

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you can you know find everything and

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search everything this was not existing

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yet there at least not in my mind and um

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I went to a posan um us counselor asking

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for some information and the lady over

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there was so excited she said you’re the

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first person who ever comes and asks for

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those books I got those books please

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take them this is all

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yours you made her day or maybe a

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year day she was like impressed that

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someone even cares for this stuff and um

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so I went to or so uh it was very

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interesting exam with cameras facing you

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and and and all the security I passed

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the exam and I got invited um to study

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abroad and um one of the things that was

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still I remember I came only nine days

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before September 11th so you’re coming

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to us you’re starting this study you’re

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finding your place and nine days later a

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big catastrophe happens and days it was

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n days yes oh wow and uh and this was

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this was very um I’ll say uh emotional

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um I was wondering should I stay should

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I go but um I decided let’s let’s keep

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going let’s see what’s going to happen

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and um and I started actually I took a

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sabatical in Poland just in case if the

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US study doesn’t follow very good U um

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and in the same in parallel I even had

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um um a research Grant from polish

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Academia of science uh which I uh which

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I finished be being in us um and I was

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even invited to continue this but then I

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had to make decision uh you go one way

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or the other so I stopped the study in

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Poland and and focused on the one in the

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United States so y

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Us in science it’s always viewed as a

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place where the biggest breakthroughs

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happening or at least most frequently of

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course every nation has a a big impact

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on the science but us has a very special

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way in terms of the resources

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capabilities Etc so that’s from

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scientific perspective yeah that’s also

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but you know there are many more of of

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Americans compared to to Poland which is

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not even 40 million now um but we are

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doing well uh on the at least European

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um Arena as a nation and we have lots of

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uh great Innovations and lots of lots of

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talents which unfortunately as you

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probably like that was one of your

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decisions uh why you left it’s not

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properly funded uh and not properly um

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mentored yeah so um one of the things

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that um us is doing very well is

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the reduction to practice if I can put

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it this way the Academia Academia Works

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closely with industry when you are P

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student most likely you will have a

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project that is sponsored by the

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industry so whatever you’re working on

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it’s in general the intent that this

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becomes practical at some point

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commercialized at some point by the

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industry and this makes a quite a

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difference

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versus um in Poland in general in Europe

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I I’m not sure the other countries but

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in Poland for sure um you have a lot of

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science for science unfortunately there

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is no strong industry that can support

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this that’s part of the problem and you

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need this you need this um cooperation

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industry understands in the US that if

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they want to in innovate and move

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forward they have to um have those

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connections with Academia and vice versa

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Academia likes to work with industry

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because there is a source of um a

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purpose and Novelty at at Etc so this is

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a a very good uh combination I believe

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that really helped you as well with all

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your transitions right like you started

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with Academia then you moved into

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corporate and right now you are focusing

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on entrepreneurship actually right after

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Academia I was in entrepreneurship uh

259
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for the seven years um together with a

260
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few of my uh colleagues from study uh we

261
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co-founded a company and um I was uh

262
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there to make the world

263
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better uh creating um um very fine

264
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motion and measurement systems U working

265
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on the GRS from nist National Institute

266
00:13:44,839 –> 00:13:50,839
of sard and Technology um NSF which is

267
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National Science Foundation and during

268
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one of those grants I have um a goal to

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meet or to interest one of the primary

270
00:13:59,959 –> 00:14:06,600
providers in Metrology space so I took a

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phone and I started calling them and um

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and that’s how I came across Ze um I I I

273
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still remember a discussion with with

274
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one of the leaders over there it was

275
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right around the crisis time it was

276
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around 2008 or so so when everything

277
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tanked down and nobody had any thoughts

278
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for

279
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Investments and I was looking for a

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letter of intent like typically this is

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done when you try to get a ground you

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get those letters of

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intent and uh I uh called them and I I

284
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was asking about CMM coordinate

285
00:14:38,720 –> 00:14:45,600
measuring machine that’s a 100,000 plus

286
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uh line item and and I was thinking my

287
00:14:45,600 –> 00:14:48,959
my goal is to get the letter of intent

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that if everything goes they will

289
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cooperate with us and he says uh maren I

290
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I can’t get you a a new machine the

291
00:14:55,360 –> 00:14:59,959
moment he said I can’t get you a new

292
00:14:56,959 –> 00:15:02,240
machine my my business business head

293
00:14:59,959 –> 00:15:04,920
turned it on and I said how about used

294
00:15:02,240 –> 00:15:07,399
one I’m I’m I’m good with used one and

295
00:15:04,920 –> 00:15:09,920
he said used one I I may be able to and

296
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I was like I remember shocked because I

297
00:15:09,920 –> 00:15:14,959
finished the call I said wow I think I

298
00:15:12,480 –> 00:15:17,440
got a CMM this is

299
00:15:14,959 –> 00:15:21,800
unbelievable and this is how this

300
00:15:17,440 –> 00:15:24,320
started um with Zeiss uh we have worked

301
00:15:21,800 –> 00:15:27,079
together for about two or three years

302
00:15:24,320 –> 00:15:30,279
the project was lasting and towards the

303
00:15:27,079 –> 00:15:34,079
end of the project it was a natural

304
00:15:30,279 –> 00:15:37,000
um fit um Ze was interested for me to

305
00:15:34,079 –> 00:15:41,319
joining them and I came to the

306
00:15:37,000 –> 00:15:45,199
conclusion that uh at this stage the uh

307
00:15:41,319 –> 00:15:49,800
startup life was not anymore fitting my

308
00:15:45,199 –> 00:15:51,639
needs or my um my interests and um I was

309
00:15:49,800 –> 00:15:54,480
looking for something that has more

310
00:15:51,639 –> 00:15:57,279
projects or more products versus what

311
00:15:54,480 –> 00:16:00,279
we’ve been doing is was more um

312
00:15:57,279 –> 00:16:03,079
services and there was very very um I’ll

313
00:16:00,279 –> 00:16:05,920
say critical uh so it was a smooth

314
00:16:03,079 –> 00:16:09,920
transition Z have created a Innovation

315
00:16:05,920 –> 00:16:11,639
role in us um which was very new because

316
00:16:09,920 –> 00:16:13,240
the entire organization was set as a

317
00:16:11,639 –> 00:16:15,480
sales and service so they’ve been mainly

318
00:16:13,240 –> 00:16:17,560
focused on servicing and selling and

319
00:16:15,480 –> 00:16:20,079
making equipment while all the

320
00:16:17,560 –> 00:16:23,240
Innovation was happening in oberan

321
00:16:20,079 –> 00:16:26,199
Germany so now you think about the you

322
00:16:23,240 –> 00:16:29,920
go against the tide everything is there

323
00:16:26,199 –> 00:16:33,120
you the only one here and that’s how the

324
00:16:29,920 –> 00:16:34,000
journey started okay and so then you

325
00:16:33,120 –> 00:16:38,959
you’ve

326
00:16:34,000 –> 00:16:41,560
done many years of uh corporate and

327
00:16:38,959 –> 00:16:46,839
quite recently you’ve been focusing on

328
00:16:41,560 –> 00:16:49,160
on few um selected projects yeah so I’ve

329
00:16:46,839 –> 00:16:53,560
uh I think it’s a total of 12 Years of

330
00:16:49,160 –> 00:16:55,959
corporate uh work um I I started in

331
00:16:53,560 –> 00:16:59,720
North America then I was globally

332
00:16:55,959 –> 00:17:02,440
responsible um for um various aspects of

333
00:16:59,720 –> 00:17:03,959
technology and um not only technology

334
00:17:02,440 –> 00:17:06,480
but also business I always been

335
00:17:03,959 –> 00:17:08,120
connected on when you create something

336
00:17:06,480 –> 00:17:09,839
new you also need to figure out how to

337
00:17:08,120 –> 00:17:12,959
sell it what is the true value for the

338
00:17:09,839 –> 00:17:15,360
customer ideally you sell it before you

339
00:17:12,959 –> 00:17:17,640
start like you know working on without

340
00:17:15,360 –> 00:17:20,360
putting too much of the resources

341
00:17:17,640 –> 00:17:22,240
usually usually I it was in my group I

342
00:17:20,360 –> 00:17:25,319
used to sold something that did not

343
00:17:22,240 –> 00:17:27,799
exist and then we had to create this

344
00:17:25,319 –> 00:17:30,480
when a customer was interested so uh

345
00:17:27,799 –> 00:17:33,520
there was always a interesting uh

346
00:17:30,480 –> 00:17:36,039
Dynamics and um but that was actually

347
00:17:33,520 –> 00:17:38,520
really propelling forward yes we’ve been

348
00:17:36,039 –> 00:17:41,760
able to achieve things that um have not

349
00:17:38,520 –> 00:17:43,679
been possible if you would um approach

350
00:17:41,760 –> 00:17:45,600
this the classic way hey let’s create

351
00:17:43,679 –> 00:17:49,480
something first when we ready we showed

352
00:17:45,600 –> 00:17:52,480
the world it was just the other way um

353
00:17:49,480 –> 00:17:55,320
right now I’m uh working at

354
00:17:52,480 –> 00:17:58,000
4mp um which is for manufacturing

355
00:17:55,320 –> 00:18:00,799
progress um so I’m coming back to

356
00:17:58,000 –> 00:18:03,200
Manufacturing um after two years break

357
00:18:00,799 –> 00:18:06,960
from manufacturing world I started

358
00:18:03,200 –> 00:18:09,000
having a very different view on the

359
00:18:06,960 –> 00:18:12,400
processes of everything that’s happening

360
00:18:09,000 –> 00:18:15,159
over there and one of the questions that

361
00:18:12,400 –> 00:18:19,760
I started asking myself which I did ask

362
00:18:15,159 –> 00:18:22,120
before as well is why the manufacturing

363
00:18:19,760 –> 00:18:24,559
still is set up the way how it is what

364
00:18:22,120 –> 00:18:27,480
that means is you create a part in a

365
00:18:24,559 –> 00:18:30,400
computer you generate a code you sent

366
00:18:27,480 –> 00:18:34,840
the code to a CNC machine the machine

367
00:18:30,400 –> 00:18:38,080
cuts the part and then you have to

368
00:18:34,840 –> 00:18:40,080
validate this part on a separate machine

369
00:18:38,080 –> 00:18:43,080
and then if everything is okay you keep

370
00:18:40,080 –> 00:18:47,080
going if wrong you start adjusting it’s

371
00:18:43,080 –> 00:18:48,960
a long process and expensive and

372
00:18:47,080 –> 00:18:51,120
expensive yes it requires a lot of

373
00:18:48,960 –> 00:18:53,679
skills it requires a lot of

374
00:18:51,120 –> 00:18:55,360
coordination and why can’t you do that

375
00:18:53,679 –> 00:18:58,080
on a machine and I know this question

376
00:18:55,360 –> 00:19:00,039
been asked many many times and people

377
00:18:58,080 –> 00:19:02,159
have been working on this and there are

378
00:19:00,039 –> 00:19:06,039
some solutions merging coordinate

379
00:19:02,159 –> 00:19:09,760
measuring machines called CMM with the

380
00:19:06,039 –> 00:19:11,880
CNC um which is the um computer

381
00:19:09,760 –> 00:19:17,960
numerically controlled machine which is

382
00:19:11,880 –> 00:19:20,640
the mill or late um or grinder and those

383
00:19:17,960 –> 00:19:23,200
the problem is you can’t really see

384
00:19:20,640 –> 00:19:25,360
geometrical and form errors which are

385
00:19:23,200 –> 00:19:28,480
critical so think about right angles

386
00:19:25,360 –> 00:19:30,360
straightness etc those are not possible

387
00:19:28,480 –> 00:19:33,480
to be measured right on this for I’m not

388
00:19:30,360 –> 00:19:37,480
going to go in the details why and the

389
00:19:33,480 –> 00:19:39,880
solutions that have been there are fly

390
00:19:37,480 –> 00:19:42,360
cumbersome uh expensive because it’s

391
00:19:39,880 –> 00:19:44,799
merging two machines and it’s not really

392
00:19:42,360 –> 00:19:47,039
finding its way in a in a commercial

393
00:19:44,799 –> 00:19:50,600
word the success is if you can enable

394
00:19:47,039 –> 00:19:53,000
Mom and Pop Shop of

395
00:19:50,600 –> 00:19:55,520
providing providing them technology they

396
00:19:53,000 –> 00:20:00,480
can use without really going in depth

397
00:19:55,520 –> 00:20:03,840
how does it work so so the challenge um

398
00:20:00,480 –> 00:20:06,480
um last early fall I started really

399
00:20:03,840 –> 00:20:08,679
looking into this more and more and

400
00:20:06,480 –> 00:20:12,360
there was a moment when I started

401
00:20:08,679 –> 00:20:15,760
realizing wow we could we could do it a

402
00:20:12,360 –> 00:20:19,080
different way and um and I started

403
00:20:15,760 –> 00:20:22,360
really um uh uh pushing through in in in

404
00:20:19,080 –> 00:20:24,760
this direction so that’s I’m I’m very uh

405
00:20:22,360 –> 00:20:27,159
Focus to close it’s called close the

406
00:20:24,760 –> 00:20:28,880
loop so make those feedbacks on the

407
00:20:27,159 –> 00:20:31,760
machine so the machine of the future

408
00:20:28,880 –> 00:20:34,919
will be I can recognize there is a

409
00:20:31,760 –> 00:20:36,760
problem I will self-correct the problem

410
00:20:34,919 –> 00:20:39,840
and I will make a good part every single

411
00:20:36,760 –> 00:20:43,159
time without the need of a human to tell

412
00:20:39,840 –> 00:20:45,880
me what to do this is the Holy Grail for

413
00:20:43,159 –> 00:20:47,919
manufacturing and that’s the direction

414
00:20:45,880 –> 00:20:52,880
where I’m going with the with the

415
00:20:47,919 –> 00:20:54,760
Innovation topic it fits very well since

416
00:20:52,880 –> 00:20:56,320
um you know I don’t know how many years

417
00:20:54,760 –> 00:20:59,120
we know each other already like it’s

418
00:20:56,320 –> 00:21:02,320
it’s been four five I guess maybe

419
00:20:59,120 –> 00:21:05,280
somewhere yeah something around right I

420
00:21:02,320 –> 00:21:09,640
met you when uh you were still uh in

421
00:21:05,280 –> 00:21:13,360
your previous corporate um position and

422
00:21:09,640 –> 00:21:16,279
we started talking about similar um

423
00:21:13,360 –> 00:21:18,600
issues around inefficiencies corporate

424
00:21:16,279 –> 00:21:22,760
inefficiency I was trying to sell you

425
00:21:18,600 –> 00:21:26,039
our solution uh to the to the company

426
00:21:22,760 –> 00:21:29,440
you you were working on um and you

427
00:21:26,039 –> 00:21:33,279
became interested because right now uh

428
00:21:29,440 –> 00:21:36,320
we are um working together let me take a

429
00:21:33,279 –> 00:21:39,679
step back and one of the most important

430
00:21:36,320 –> 00:21:43,200
things in Innovation is to trying to

431
00:21:39,679 –> 00:21:45,559
imagine what the world would look like

432
00:21:43,200 –> 00:21:49,840
some years ahead so let’s take a 10

433
00:21:45,559 –> 00:21:51,440
years and if I give you a an example as

434
00:21:49,840 –> 00:21:55,159
an introduction

435
00:21:51,440 –> 00:21:58,279
here if I would right now we’re talking

436
00:21:55,159 –> 00:22:00,080
through the network we have a video um

437
00:21:58,279 –> 00:22:03,120
let’s say I’ll take a movie today of

438
00:22:00,080 –> 00:22:06,320
this situation we have this video let’s

439
00:22:03,120 –> 00:22:09,679
say I have some smart device in the home

440
00:22:06,320 –> 00:22:12,120
like Alexa I can talk to and uh let’s

441
00:22:09,679 –> 00:22:15,159
add a self-driving car if I would show

442
00:22:12,120 –> 00:22:18,559
you this video of today World which is

443
00:22:15,159 –> 00:22:21,200
normal and I’ll move it back uh maybe

444
00:22:18,559 –> 00:22:24,480
today 15 years you would think it’s a

445
00:22:21,200 –> 00:22:26,679
Hollywood it’s no way this doesn’t exist

446
00:22:24,480 –> 00:22:28,600
and a world have moved significantly

447
00:22:26,679 –> 00:22:31,120
from the moment when a smartphone was

448
00:22:28,600 –> 00:22:32,919
invented we started think completely

449
00:22:31,120 –> 00:22:36,120
differently how to communicate how to do

450
00:22:32,919 –> 00:22:39,320
certain things and so what’s critical in

451
00:22:36,120 –> 00:22:42,200
Innovation is to try to think is this

452
00:22:39,320 –> 00:22:44,200
really how it’s going to be is this

453
00:22:42,200 –> 00:22:45,760
really the 10 years from now what it’s

454
00:22:44,200 –> 00:22:47,720
going to be and and one of the things

455
00:22:45,760 –> 00:22:51,279
that attracted me so I already been

456
00:22:47,720 –> 00:22:54,600
working with AI we been doing uh visual

457
00:22:51,279 –> 00:22:59,320
analysis or or data analysis of of

458
00:22:54,600 –> 00:23:01,840
images and 2D and 3D and we start using

459
00:22:59,320 –> 00:23:04,320
some AI components so I understand the

460
00:23:01,840 –> 00:23:08,360
potential of this technology very well

461
00:23:04,320 –> 00:23:12,880
um and uh when I started through my

462
00:23:08,360 –> 00:23:14,760
corporate career I’ve seen often that um

463
00:23:12,880 –> 00:23:18,799
one of the struggles that corporations

464
00:23:14,760 –> 00:23:23,000
have there is a vast number of data in

465
00:23:18,799 –> 00:23:26,440
organizations but because of the last 20

466
00:23:23,000 –> 00:23:29,000
years each of the subgroup in a an organ

467
00:23:26,440 –> 00:23:33,120
in company would have

468
00:23:29,000 –> 00:23:35,480
own software own platform own little

469
00:23:33,120 –> 00:23:37,640
Digital World some of them faster more

470
00:23:35,480 –> 00:23:40,440
advanced and the others everything is

471
00:23:37,640 –> 00:23:45,159
disconnected everything is somewhere

472
00:23:40,440 –> 00:23:46,679
else and what people doing today is

473
00:23:45,159 –> 00:23:51,279
they’re trying to create now we’re going

474
00:23:46,679 –> 00:23:53,559
to create now big giant uh central place

475
00:23:51,279 –> 00:23:56,880
where we’re going to keep all this data

476
00:23:53,559 –> 00:23:59,159
and this is just unbelievable task

477
00:23:56,880 –> 00:24:02,440
extremely difficult I’ve been seeing or

478
00:23:59,159 –> 00:24:05,000
hearing up close all the problems that

479
00:24:02,440 –> 00:24:07,720
happening with this people don’t have

480
00:24:05,000 –> 00:24:10,360
time they don’t have a even knowledge or

481
00:24:07,720 –> 00:24:13,279
expertise to help those you you hire a

482
00:24:10,360 –> 00:24:16,720
company the company needs collaboration

483
00:24:13,279 –> 00:24:19,640
this is a very painful process and one

484
00:24:16,720 –> 00:24:22,679
of the things that I

485
00:24:19,640 –> 00:24:24,159
really liked about what you brought is a

486
00:24:22,679 –> 00:24:26,559
very different

487
00:24:24,159 –> 00:24:28,880
approach why should we create a big

488
00:24:26,559 –> 00:24:32,240
ocean of data so everybody can put their

489
00:24:28,880 –> 00:24:36,000
fishing rods and and get what they want

490
00:24:32,240 –> 00:24:38,399
why can’t we have a series of ponds a

491
00:24:36,000 –> 00:24:40,760
lot of them and connect them any way we

492
00:24:38,399 –> 00:24:42,240
want do we want information from this

493
00:24:40,760 –> 00:24:44,679
this and this okay I create those

494
00:24:42,240 –> 00:24:48,399
connections and and I leave I leave I

495
00:24:44,679 –> 00:24:50,960
leave those pawns alone and this helps

496
00:24:48,399 –> 00:24:54,960
tremendously from many aspects

497
00:24:50,960 –> 00:24:57,760
maintenance if you have a a big source

498
00:24:54,960 –> 00:24:59,720
of data down the whole company’s down if

499
00:24:57,760 –> 00:25:01,679
I have a multiple sources and one of

500
00:24:59,720 –> 00:25:03,880
them is down it’s only one component

501
00:25:01,679 –> 00:25:07,679
that’s missing so everything else is

502
00:25:03,880 –> 00:25:09,640
working yes if I need to do changing

503
00:25:07,679 –> 00:25:12,120
let’s say I need to make an upgrade I’m

504
00:25:09,640 –> 00:25:14,640
working on a small Lego block so Lego

505
00:25:12,120 –> 00:25:17,480
blocks is a great example here yes you

506
00:25:14,640 –> 00:25:19,880
have those Lego blocks I can reinvent

507
00:25:17,480 –> 00:25:21,000
and restructure those Lego blocks any

508
00:25:19,880 –> 00:25:24,080
way I

509
00:25:21,000 –> 00:25:26,240
like and if I need few extra blocks I

510
00:25:24,080 –> 00:25:28,480
can make them if I don’t need some of

511
00:25:26,240 –> 00:25:30,399
the blocks I take them out but but I

512
00:25:28,480 –> 00:25:34,159
don’t have to worry about all of this

513
00:25:30,399 –> 00:25:37,799
and this is how I think the future have

514
00:25:34,159 –> 00:25:41,360
to look like it is impossible to create

515
00:25:37,799 –> 00:25:43,880
those massive data sets that sits as a

516
00:25:41,360 –> 00:25:47,240
one platform this will be extremely

517
00:25:43,880 –> 00:25:50,159
challenging so the modularity I call it

518
00:25:47,240 –> 00:25:52,760
or um that’s something that I truly

519
00:25:50,159 –> 00:25:56,120
believe it’s it’s it’s the way to go

520
00:25:52,760 –> 00:25:59,039
this is there’s no no other way and

521
00:25:56,120 –> 00:26:01,480
people going to learn that yeah but you

522
00:25:59,039 –> 00:26:05,399
are Forward Thinking you see the

523
00:26:01,480 –> 00:26:08,440
opportunities but from from your

524
00:26:05,399 –> 00:26:12,200
experience I you see this as well

525
00:26:08,440 –> 00:26:15,720
companies or company decision

526
00:26:12,200 –> 00:26:18,080
makers usually don’t care they still

527
00:26:15,720 –> 00:26:21,039
like to work the way they’ve always

528
00:26:18,080 –> 00:26:24,080
worked and there’s so much inefficiency

529
00:26:21,039 –> 00:26:27,919
when you encountered those uh situations

530
00:26:24,080 –> 00:26:33,399
how did you make them change their mind

531
00:26:27,919 –> 00:26:36,760
how did you try to um you know push for

532
00:26:33,399 –> 00:26:39,760
Innovation um this is a uh always a

533
00:26:36,760 –> 00:26:43,279
challenge yes so there’s a two ways of

534
00:26:39,760 –> 00:26:46,720
um of thought in a corporation you can

535
00:26:43,279 –> 00:26:49,039
ask for permission or you can ask for

536
00:26:46,720 –> 00:26:51,039
forgiveness uh sorry I’m the one who

537
00:26:49,039 –> 00:26:54,000
asks for forgiveness I don’t ask for

538
00:26:51,039 –> 00:26:55,520
permission um that gets you in trouble

539
00:26:54,000 –> 00:27:00,360
at times

540
00:26:55,520 –> 00:27:03,720
but from your perspective you see things

541
00:27:00,360 –> 00:27:07,159
different than the top leader obviously

542
00:27:03,720 –> 00:27:10,200
and I had a a great example in my in my

543
00:27:07,159 –> 00:27:14,159
career um we’ve been working on the um

544
00:27:10,200 –> 00:27:17,600
some technology special machines um and

545
00:27:14,159 –> 00:27:19,840
um I knew that the machine that we got

546
00:27:17,600 –> 00:27:23,159
it’s it’s really impractical has a lot

547
00:27:19,840 –> 00:27:25,399
of problems it was designed by Optical

548
00:27:23,159 –> 00:27:27,360
Engineers they didn’t really had in mind

549
00:27:25,399 –> 00:27:29,520
serviceability they didn’t had in mind

550
00:27:27,360 –> 00:27:31,360
how easy can be something changed and

551
00:27:29,520 –> 00:27:33,320
and the fact that you could replicate so

552
00:27:31,360 –> 00:27:37,039
this was really a

553
00:27:33,320 –> 00:27:39,360
prototype and I I I said we we really to

554
00:27:37,039 –> 00:27:42,200
be successful we really need to start

555
00:27:39,360 –> 00:27:44,519
over and and rebuild this this machine

556
00:27:42,200 –> 00:27:45,919
of course in corporation world you have

557
00:27:44,519 –> 00:27:47,640
to have a budget you have to have a

558
00:27:45,919 –> 00:27:52,320
permission you have to have this this

559
00:27:47,640 –> 00:27:55,000
this well unless you um you do it

560
00:27:52,320 –> 00:27:57,760
slightly different um the trick is if

561
00:27:55,000 –> 00:27:58,760
you do your R&D within the same fiscal

562
00:27:57,760 –> 00:28:00,960
year

563
00:27:58,760 –> 00:28:03,799
and you sell what you have created in

564
00:28:00,960 –> 00:28:06,279
the same fiscal year you haven’t created

565
00:28:03,799 –> 00:28:08,840
any harm you actually can bring up

566
00:28:06,279 –> 00:28:12,320
Surplus to the company rather than lost

567
00:28:08,840 –> 00:28:16,039
money so the fiscal year started uh we

568
00:28:12,320 –> 00:28:18,960
started a work um I did not really tell

569
00:28:16,039 –> 00:28:23,159
anybody that we doing this and I showed

570
00:28:18,960 –> 00:28:26,159
my boss um when machine was ready uh I

571
00:28:23,159 –> 00:28:28,880
walked him in um and he almost fainted

572
00:28:26,159 –> 00:28:30,960
away when he seen the machine machine it

573
00:28:28,880 –> 00:28:32,840
was a big machine it was a very nice

574
00:28:30,960 –> 00:28:34,840
looking machine but he was almost

575
00:28:32,840 –> 00:28:38,440
getting a heart attack seeing this like

576
00:28:34,840 –> 00:28:41,519
oh my God this is going to be bad and

577
00:28:38,440 –> 00:28:43,279
the good news was I I just said look um

578
00:28:41,519 –> 00:28:47,240
don’t worry I’m gonna sell it before the

579
00:28:43,279 –> 00:28:50,480
fiscal ends and I did I actually did and

580
00:28:47,240 –> 00:28:53,159
um and the customer I mean the the

581
00:28:50,480 –> 00:28:55,159
corporate um leadership was actually

582
00:28:53,159 –> 00:28:56,720
impressed with the technology and and

583
00:28:55,159 –> 00:29:00,679
they started supporting this but it

584
00:28:56,720 –> 00:29:04,640
requires a bold steps

585
00:29:00,679 –> 00:29:07,840
majority yeah majority R&D is not that

586
00:29:04,640 –> 00:29:09,360
way people are very lenient they just go

587
00:29:07,840 –> 00:29:10,840
okay this is how we’re going to go this

588
00:29:09,360 –> 00:29:14,559
is what we’re going to set up you you

589
00:29:10,840 –> 00:29:15,640
need some of the of the boldness in in

590
00:29:14,559 –> 00:29:19,279
this

591
00:29:15,640 –> 00:29:21,600
process and did you have uh some

592
00:29:19,279 –> 00:29:24,559
something on paper from from the

593
00:29:21,600 –> 00:29:27,519
potential customer whom whom you were

594
00:29:24,559 –> 00:29:30,480
like you sold it after or was it just

595
00:29:27,519 –> 00:29:32,640
theor theoretical that if you deliver

596
00:29:30,480 –> 00:29:35,159
they will get it maybe

597
00:29:32,640 –> 00:29:37,720
not uh I have been working with the

598
00:29:35,159 –> 00:29:40,399
customer but that customer is known for

599
00:29:37,720 –> 00:29:42,840
changing their mind all the time and you

600
00:29:40,399 –> 00:29:44,919
still wanted to go ahead I wanted to go

601
00:29:42,840 –> 00:29:47,640
ahead not because of this customer but

602
00:29:44,919 –> 00:29:49,240
because I knew that to move the forward

603
00:29:47,640 –> 00:29:51,640
with this technology to make this

604
00:29:49,240 –> 00:29:55,080
successful you have to do it and I was

605
00:29:51,640 –> 00:29:58,200
willing to take the risk um I I really

606
00:29:55,080 –> 00:30:00,679
was certain about if I make those Chang

607
00:29:58,200 –> 00:30:04,519
es and we make re redesign this

608
00:30:00,679 –> 00:30:07,399
technology you we will it will work and

609
00:30:04,519 –> 00:30:10,640
why I was so short because I already

610
00:30:07,399 –> 00:30:13,600
worked few years uh in this space and

611
00:30:10,640 –> 00:30:16,279
and I’ve seen what’s the problem uh the

612
00:30:13,600 –> 00:30:19,559
the ever growing problems in in

613
00:30:16,279 –> 00:30:23,440
technology is that the customers um ask

614
00:30:19,559 –> 00:30:26,240
you for often ask you for horses while

615
00:30:23,440 –> 00:30:28,360
you have a car they don’t know to ask

616
00:30:26,240 –> 00:30:30,960
for it you have to think out of the box

617
00:30:28,360 –> 00:30:34,080
to be able to to Really solve their

618
00:30:30,960 –> 00:30:37,000
problem um so but you need to be willing

619
00:30:34,080 –> 00:30:39,880
to take a risks yes some sometimes they

620
00:30:37,000 –> 00:30:42,240
they could be painful but um if you

621
00:30:39,880 –> 00:30:48,120
don’t do this um you’re not moving

622
00:30:42,240 –> 00:30:50,679
forward true um yet you know in in my

623
00:30:48,120 –> 00:30:51,919
perspective working in a in a smaller

624
00:30:50,679 –> 00:30:56,639
company

625
00:30:51,919 –> 00:30:59,919
startup still there’s there is so much

626
00:30:56,639 –> 00:31:03,960
difficulty uh to to start working to get

627
00:30:59,919 –> 00:31:06,240
into corporate uh partnership or any

628
00:31:03,960 –> 00:31:08,840
kind of projects because you know that

629
00:31:06,240 –> 00:31:12,320
there is a saying nobody ever got fired

630
00:31:08,840 –> 00:31:14,720
for hiring IBM um even though if it’s

631
00:31:12,320 –> 00:31:16,120
it’s not working or you know it’s the

632
00:31:14,720 –> 00:31:18,480
the way they are thinking about

633
00:31:16,120 –> 00:31:22,799
approaching the problem is oldfashioned

634
00:31:18,480 –> 00:31:26,639
and there are more efficient um ways A

635
00:31:22,799 –> 00:31:29,760
change is slow uh I agree with you that

636
00:31:26,639 –> 00:31:33,159
the corporations are averse however the

637
00:31:29,760 –> 00:31:37,519
moment when they see that something new

638
00:31:33,159 –> 00:31:40,080
works um they starts moving there um and

639
00:31:37,519 –> 00:31:42,960
uh you know IBM is great companies is uh

640
00:31:40,080 –> 00:31:46,840
no doubt about it but there is a reason

641
00:31:42,960 –> 00:31:51,000
why in us there is a lot of startups

642
00:31:46,840 –> 00:31:53,720
that come from nowhere and suddenly um

643
00:31:51,000 –> 00:31:56,960
they grow pretty fast I mean look a lot

644
00:31:53,720 –> 00:32:01,000
of the very famous companies they they

645
00:31:56,960 –> 00:32:03,840
barely many of them 10 15 20 years old

646
00:32:01,000 –> 00:32:06,559
and they ruling the world um and that’s

647
00:32:03,840 –> 00:32:08,720
the environment um if you solving

648
00:32:06,559 –> 00:32:11,960
somebody’s problem or creating a

649
00:32:08,720 –> 00:32:15,000
solution that is needed or at least

650
00:32:11,960 –> 00:32:18,919
suddenly people like it um the business

651
00:32:15,000 –> 00:32:21,880
starts growing very fast and um and it’s

652
00:32:18,919 –> 00:32:24,480
a it’s a process I I fully agree I mean

653
00:32:21,880 –> 00:32:27,279
part of a reason why maybe there is a

654
00:32:24,480 –> 00:32:28,760
still tendency to go to those large

655
00:32:27,279 –> 00:32:31,919
providers

656
00:32:28,760 –> 00:32:34,880
because the leaderships think from a

657
00:32:31,919 –> 00:32:37,559
massive big platform

658
00:32:34,880 –> 00:32:40,519
perspective if you have a big platform

659
00:32:37,559 –> 00:32:42,679
you need a secure provider but if you

660
00:32:40,519 –> 00:32:45,679
change your mindset it’s like why do I

661
00:32:42,679 –> 00:32:48,360
need a big platform I can have my small

662
00:32:45,679 –> 00:32:50,399
Lego sets and I just starts connecting

663
00:32:48,360 –> 00:32:52,279
them it changes completely their

664
00:32:50,399 –> 00:32:54,000
perspective and the willingness to risk

665
00:32:52,279 –> 00:32:56,519
because I’m not suddenly putting a great

666
00:32:54,000 –> 00:32:58,440
risk yes if I’m just making a

667
00:32:56,519 –> 00:33:03,039
connections between few blocks box or a

668
00:32:58,440 –> 00:33:05,080
few beta pools um it’s it’s um okay if

669
00:33:03,039 –> 00:33:07,519
this doesn’t work first of all I’m not

670
00:33:05,080 –> 00:33:11,039
disrupting what’s there because I’m more

671
00:33:07,519 –> 00:33:12,919
like an a listener mode uh I’m not

672
00:33:11,039 –> 00:33:15,480
changing the functionality of what

673
00:33:12,919 –> 00:33:17,440
exists I’m just building a top of it and

674
00:33:15,480 –> 00:33:20,240
this is something that I think it’s very

675
00:33:17,440 –> 00:33:22,080
critical for for the leaders to

676
00:33:20,240 –> 00:33:25,679
understand trying this type of

677
00:33:22,080 –> 00:33:28,480
Technologies is actually not causing a

678
00:33:25,679 –> 00:33:30,880
ton of risk because there is no

679
00:33:28,480 –> 00:33:32,679
disruption to what you’re doing there is

680
00:33:30,880 –> 00:33:34,440
no moment hey we going to have a power

681
00:33:32,679 –> 00:33:35,799
off or we going to have a data off or we

682
00:33:34,440 –> 00:33:38,600
going to have this oh my God everything

683
00:33:35,799 –> 00:33:43,000
went down that doesn’t work that way

684
00:33:38,600 –> 00:33:46,559
because you on the side yes but one of

685
00:33:43,000 –> 00:33:51,360
the obst not obstacles one of the

686
00:33:46,559 –> 00:33:54,159
excuses um we hear is they don’t have a

687
00:33:51,360 –> 00:33:59,880
Workforce they don’t have enough people

688
00:33:54,159 –> 00:34:01,360
to um to attach to to new project uh so

689
00:33:59,880 –> 00:34:03,039
so they can’t start anything else

690
00:34:01,360 –> 00:34:06,559
because they are overwhelmed with what

691
00:34:03,039 –> 00:34:08,040
what’s already there um how do you how

692
00:34:06,559 –> 00:34:11,240
do you respond to

693
00:34:08,040 –> 00:34:12,720
that this is because that’s what is

694
00:34:11,240 –> 00:34:13,679
expected from them when they work on

695
00:34:12,720 –> 00:34:17,679
those big

696
00:34:13,679 –> 00:34:20,760
platforms to have a army of people that

697
00:34:17,679 –> 00:34:23,159
are available and knowledgeable about

698
00:34:20,760 –> 00:34:25,480
this about what what’s really there in a

699
00:34:23,159 –> 00:34:27,440
company they don’t understand that for

700
00:34:25,480 –> 00:34:32,480
those projects you actually don’t need

701
00:34:27,440 –> 00:34:35,960
all of this is you need those who have a

702
00:34:32,480 –> 00:34:39,079
vision what truly I need to

703
00:34:35,960 –> 00:34:42,040
connect what information I’m always

704
00:34:39,079 –> 00:34:44,879
looking for and spending my time and

705
00:34:42,040 –> 00:34:47,320
trying to find to make my

706
00:34:44,879 –> 00:34:49,679
decisions and I get frustrated I have to

707
00:34:47,320 –> 00:34:52,280
ask 10 people to get this and this and

708
00:34:49,679 –> 00:34:56,000
that and and it takes time they all have

709
00:34:52,280 –> 00:34:58,240
to spend time calculating okay think

710
00:34:56,000 –> 00:35:00,920
different way just take this video

711
00:34:58,240 –> 00:35:03,520
problem that you always try to solve or

712
00:35:00,920 –> 00:35:06,359
every time new quarter comes or this you

713
00:35:03,520 –> 00:35:08,720
want this and just let’s automate this

714
00:35:06,359 –> 00:35:11,880
process let’s make this first step and

715
00:35:08,720 –> 00:35:15,480
do it this way don’t overthink this

716
00:35:11,880 –> 00:35:17,839
don’t try to create new solution from

717
00:35:15,480 –> 00:35:20,680
the ground and then you spending time on

718
00:35:17,839 –> 00:35:23,599
designing every single aspect it takes

719
00:35:20,680 –> 00:35:25,320
forever by the time you done the world

720
00:35:23,599 –> 00:35:28,599
already moved to the new

721
00:35:25,320 –> 00:35:31,240
space Your solution is already outdated

722
00:35:28,599 –> 00:35:34,240
in this case you can take a small

723
00:35:31,240 –> 00:35:36,440
chunk make a say hey we want to make the

724
00:35:34,240 –> 00:35:38,240
connections of this data I want to I

725
00:35:36,440 –> 00:35:39,960
want to get this information and this

726
00:35:38,240 –> 00:35:41,480
will be not only proof of concept it

727
00:35:39,960 –> 00:35:45,440
will be working proof of concept that

728
00:35:41,480 –> 00:35:48,560
you can actually use in immediately

729
00:35:45,440 –> 00:35:50,720
after the process starts this is the

730
00:35:48,560 –> 00:35:52,440
uniqueness in all of this process and

731
00:35:50,720 –> 00:35:54,880
that’s where the companies don’t

732
00:35:52,440 –> 00:35:57,200
understand they think they have a lot of

733
00:35:54,880 –> 00:36:00,520
resources into this but that’s not the

734
00:35:57,200 –> 00:36:03,040
case it’s not as resource hungry as as

735
00:36:00,520 –> 00:36:07,359
the classic projects do you think it’s

736
00:36:03,040 –> 00:36:08,560
due to artificial intelligence and how

737
00:36:07,359 –> 00:36:14,079
you know

738
00:36:08,560 –> 00:36:17,240
the the approach to um to building um

739
00:36:14,079 –> 00:36:20,560
has evolved in the recent years I mean

740
00:36:17,240 –> 00:36:25,800
AI of course helps here but um it’s

741
00:36:20,560 –> 00:36:30,319
always easier to build and control small

742
00:36:25,800 –> 00:36:32,319
blocks it’s much easier to um to make

743
00:36:30,319 –> 00:36:36,599
changes in those small blocks you just

744
00:36:32,319 –> 00:36:38,880
maintain interfaces versus if you have a

745
00:36:36,599 –> 00:36:41,680
big giant construction

746
00:36:38,880 –> 00:36:44,079
place and I’ve used this concept in

747
00:36:41,680 –> 00:36:46,599
building machines I call it Lego blocks

748
00:36:44,079 –> 00:36:49,000
I have the way how we approach this it’s

749
00:36:46,599 –> 00:36:51,800
a very similar uh the way we approach

750
00:36:49,000 –> 00:36:53,880
this is you building machine and visual

751
00:36:51,800 –> 00:36:56,640
inspection you’re very sensitive to a

752
00:36:53,880 –> 00:36:59,119
size of an object so you’re imagining oh

753
00:36:56,640 –> 00:37:01,680
yes this world is is is needs this type

754
00:36:59,119 –> 00:37:03,920
of parts to be inspected what’s going to

755
00:37:01,680 –> 00:37:05,800
happen next the next customer comes in

756
00:37:03,920 –> 00:37:08,319
they get a different part oh gosh it

757
00:37:05,800 –> 00:37:10,160
doesn’t fit to my machine oh my God now

758
00:37:08,319 –> 00:37:13,000
I need to develop new one this is never-

759
00:37:10,160 –> 00:37:15,720
Ending Story how can I solve this and

760
00:37:13,000 –> 00:37:20,200
then when you create all those machines

761
00:37:15,720 –> 00:37:22,680
how can you make sure that the service

762
00:37:20,200 –> 00:37:24,079
organization can keep up with it how can

763
00:37:22,680 –> 00:37:26,119
you make sure that application

764
00:37:24,079 –> 00:37:27,800
organization can keep up with it do you

765
00:37:26,119 –> 00:37:30,000
need to train everybody for different

766
00:37:27,800 –> 00:37:33,040
machines this is this is endless this

767
00:37:30,000 –> 00:37:35,920
this is nonsense so we created a Lego

768
00:37:33,040 –> 00:37:38,000
blocks and I say yeah from outside it

769
00:37:35,920 –> 00:37:40,480
may be an elephant and giraffe they may

770
00:37:38,000 –> 00:37:44,760
look very different but once you open

771
00:37:40,480 –> 00:37:48,920
the hood inside they look very same this

772
00:37:44,760 –> 00:37:52,680
is this is the the critical part that

773
00:37:48,920 –> 00:37:56,680
that is that is really good part of your

774
00:37:52,680 –> 00:38:00,079
of why you’ve been so successful uh and

775
00:37:56,680 –> 00:38:02,720
you reached the see sea levels in in

776
00:38:00,079 –> 00:38:05,000
your corporate career is that you’ve

777
00:38:02,720 –> 00:38:08,240
been asking so many questions right and

778
00:38:05,000 –> 00:38:11,000
people are afraid of asking questions

779
00:38:08,240 –> 00:38:14,680
because some of them are quite

780
00:38:11,000 –> 00:38:17,599
uncomfortable but how do you stay ahead

781
00:38:14,680 –> 00:38:20,040
of curve especially right now when

782
00:38:17,599 –> 00:38:22,319
there’s so many things as you said so

783
00:38:20,040 –> 00:38:26,079
many things uh happening in the same

784
00:38:22,319 –> 00:38:28,599
time um and whether you like it or not

785
00:38:26,079 –> 00:38:33,200
but with artificial intelligence

786
00:38:28,599 –> 00:38:35,839
uh everything seems to be accelerated

787
00:38:33,200 –> 00:38:37,760
exponentially um I don’t think it’s

788
00:38:35,839 –> 00:38:39,920
artificial intelligence alone that

789
00:38:37,760 –> 00:38:42,359
causes the acceleration I think in

790
00:38:39,920 –> 00:38:44,240
general in general the world accelerates

791
00:38:42,359 –> 00:38:50,119
you have to look at from a different

792
00:38:44,240 –> 00:38:53,160
perspective let’s say 10 15 years ago um

793
00:38:50,119 –> 00:38:55,800
you would need to be part of a certain

794
00:38:53,160 –> 00:38:58,440
Corporation to have access to the latest

795
00:38:55,800 –> 00:39:01,440
capabilities you would need to leave in

796
00:38:58,440 –> 00:39:04,640
the very location where the company is

797
00:39:01,440 –> 00:39:07,960
to do this so this is a significant

798
00:39:04,640 –> 00:39:10,960
barrier for a lot of population of the

799
00:39:07,960 –> 00:39:13,079
planet with the globalization and

800
00:39:10,960 –> 00:39:16,119
connectivity and internet you are right

801
00:39:13,079 –> 00:39:19,800
now in London I’m in Allentown

802
00:39:16,119 –> 00:39:24,160
Pennsylvania we can communicate we can

803
00:39:19,800 –> 00:39:26,520
talk without any barriers yes and now

804
00:39:24,160 –> 00:39:28,599
you can imagine you have individuals who

805
00:39:26,520 –> 00:39:31,440
could be whatever they want in the world

806
00:39:28,599 –> 00:39:34,520
as long as they can get access to the

807
00:39:31,440 –> 00:39:38,200
internet and they can have access to

808
00:39:34,520 –> 00:39:41,440
knowledge they can provide input so the

809
00:39:38,200 –> 00:39:44,640
number of people number of brains that

810
00:39:41,440 –> 00:39:47,800
are used to solve problems or that are

811
00:39:44,640 –> 00:39:50,680
curious about something is exponentially

812
00:39:47,800 –> 00:39:52,960
higher than it used to was it used to

813
00:39:50,680 –> 00:39:55,680
was a selective group of people that

814
00:39:52,960 –> 00:39:58,040
could do that now technically speaking

815
00:39:55,680 –> 00:40:01,359
anybody has access to it

816
00:39:58,040 –> 00:40:03,160
but you have the other side to it which

817
00:40:01,359 –> 00:40:06,240
is more

818
00:40:03,160 –> 00:40:07,800
noise yes there is more noise there is a

819
00:40:06,240 –> 00:40:11,800
a lot of information so you have to know

820
00:40:07,800 –> 00:40:15,560
how to how to cut through this noise yes

821
00:40:11,800 –> 00:40:17,760
however what this does is the speed of

822
00:40:15,560 –> 00:40:20,920
innovation is different I mean look

823
00:40:17,760 –> 00:40:23,880
great examples I mean Kodak they

824
00:40:20,920 –> 00:40:27,880
invented digital photography but they’ve

825
00:40:23,880 –> 00:40:30,599
been too busy to rape the profits of of

826
00:40:27,880 –> 00:40:33,599
what they had what’s worked in the past

827
00:40:30,599 –> 00:40:36,680
there was there was Nokia it’s it’s a

828
00:40:33,599 –> 00:40:39,319
great example in the in the C you know

829
00:40:36,680 –> 00:40:43,040
business in the in in the cell phones

830
00:40:39,319 –> 00:40:45,440
they just missed the boat by year and by

831
00:40:43,040 –> 00:40:49,400
the time they realized what’s going on

832
00:40:45,440 –> 00:40:50,599
it was done look at uh Blackberry this

833
00:40:49,400 –> 00:40:54,359
is a great

834
00:40:50,599 –> 00:40:56,119
example you the Blackberry was created

835
00:40:54,359 –> 00:40:58,520
because people started texting on their

836
00:40:56,119 –> 00:41:01,800
phones and it was practical to push the

837
00:40:58,520 –> 00:41:04,000
button three times to get the letter c

838
00:41:01,800 –> 00:41:05,680
so you got a separate keyboard but the

839
00:41:04,000 –> 00:41:08,000
moment you have a smartphone who cares

840
00:41:05,680 –> 00:41:11,160
for keyboard you have your digital

841
00:41:08,000 –> 00:41:14,119
version on the screen and the entire

842
00:41:11,160 –> 00:41:18,359
ecosystem have flourished and grew

843
00:41:14,119 –> 00:41:20,160
tremendously so all you need is those

844
00:41:18,359 –> 00:41:23,400
starting points and those starting

845
00:41:20,160 –> 00:41:26,000
points flare significant changes and

846
00:41:23,400 –> 00:41:29,119
that’s what’s causing this so AI of

847
00:41:26,000 –> 00:41:31,560
course it will be one of the those um

848
00:41:29,119 –> 00:41:34,200
there was nanotechnology one of those as

849
00:41:31,560 –> 00:41:36,599
well in the past but um and there will

850
00:41:34,200 –> 00:41:39,560
be a lot of people people think that AI

851
00:41:36,599 –> 00:41:42,280
is going to solve every problem no no AI

852
00:41:39,560 –> 00:41:44,480
is is good only for certain applications

853
00:41:42,280 –> 00:41:48,319
is good in a certain way and what you

854
00:41:44,480 –> 00:41:50,640
have to be very careful is you do need

855
00:41:48,319 –> 00:41:53,520
to have a quality data if you want to

856
00:41:50,640 –> 00:41:55,760
have a quality results there is a say

857
00:41:53,520 –> 00:41:58,880
junk in junk out no matter how good your

858
00:41:55,760 –> 00:42:01,359
model is so people don’t realize this oh

859
00:41:58,880 –> 00:42:04,880
I I just throw all this all this data

860
00:42:01,359 –> 00:42:06,640
there and get sorted out so no it’s not

861
00:42:04,880 –> 00:42:09,359
going to do it it’s not going to do it

862
00:42:06,640 –> 00:42:11,640
so you have to understand which aspects

863
00:42:09,359 –> 00:42:13,119
could be used for and there are some

864
00:42:11,640 –> 00:42:16,880
aspects that are

865
00:42:13,119 –> 00:42:19,200
obviously um a movie worthy very

866
00:42:16,880 –> 00:42:21,440
fashionable and there are aspects that

867
00:42:19,200 –> 00:42:23,119
are not as interesting for general

868
00:42:21,440 –> 00:42:26,680
public but it could be extremely

869
00:42:23,119 –> 00:42:27,640
impactful um think about a good example

870
00:42:26,680 –> 00:42:30,359
emotion

871
00:42:27,640 –> 00:42:32,280
so in the past the robots would be

872
00:42:30,359 –> 00:42:35,760
considered like this robotic movement

873
00:42:32,280 –> 00:42:39,359
yes you have this very very strange

874
00:42:35,760 –> 00:42:41,280
moves today with modern controls and if

875
00:42:39,359 –> 00:42:44,319
you add some AI you could get the

876
00:42:41,280 –> 00:42:47,079
humanlike movements um very different

877
00:42:44,319 –> 00:42:49,319
you may have a same mechanism but the

878
00:42:47,079 –> 00:42:52,640
movement structure the ability how it

879
00:42:49,319 –> 00:42:54,520
moves the ability how it how it um

880
00:42:52,640 –> 00:42:59,440
progresses is very different I’ve seen

881
00:42:54,520 –> 00:43:01,720
um a robotic toy that um all they did is

882
00:42:59,440 –> 00:43:03,760
they added a screen mimicking the face

883
00:43:01,720 –> 00:43:06,400
and the face was basically a cartoon

884
00:43:03,760 –> 00:43:08,359
like like from Disney movies it was

885
00:43:06,400 –> 00:43:09,680
making the faces and this and suddenly

886
00:43:08,359 –> 00:43:11,760
you have a completely different feeling

887
00:43:09,680 –> 00:43:13,559
about this device yeah it’s the same

888
00:43:11,760 –> 00:43:15,760
thing start developing emotions

889
00:43:13,559 –> 00:43:19,119
sometimes but it starts creating and

890
00:43:15,760 –> 00:43:20,680
showing emotions on the screen and

891
00:43:19,119 –> 00:43:22,880
they’ve done it so skillfully they was

892
00:43:20,680 –> 00:43:25,680
like wow this is really engaging it’s

893
00:43:22,880 –> 00:43:27,960
not like anymore hey here I am is is

894
00:43:25,680 –> 00:43:30,040
more like it starts showing showing you

895
00:43:27,960 –> 00:43:33,559
know start showing us something

896
00:43:30,040 –> 00:43:37,079
different and that’s where AI is going

897
00:43:33,559 –> 00:43:40,440
to be helping to bring this natural

898
00:43:37,079 –> 00:43:44,760
aspects of the uh of how humans would do

899
00:43:40,440 –> 00:43:48,119
it yeah but don’t you worry about um how

900
00:43:44,760 –> 00:43:50,720
it can be misused or you know people

901
00:43:48,119 –> 00:43:54,400
like with the example you just uh gave

902
00:43:50,720 –> 00:43:58,079
about the the machine the the robot uh

903
00:43:54,400 –> 00:44:02,280
you know people can start developing um

904
00:43:58,079 –> 00:44:08,040
um affection and some other emotions and

905
00:44:02,280 –> 00:44:10,760
maybe uh just in some cases um forgo and

906
00:44:08,040 –> 00:44:13,359
stop caring about the reality the the

907
00:44:10,760 –> 00:44:17,280
real world and the real connections and

908
00:44:13,359 –> 00:44:22,319
just focus on something which won’t harm

909
00:44:17,280 –> 00:44:27,319
maybe not one not won harm you but want

910
00:44:22,319 –> 00:44:28,319
uh will be programmed to be almost like

911
00:44:27,319 –> 00:44:31,440
like a

912
00:44:28,319 –> 00:44:34,359
slave H there’s always a danger with

913
00:44:31,440 –> 00:44:36,720
every technology is that could be

914
00:44:34,359 –> 00:44:39,079
misused anything around us I mean you

915
00:44:36,720 –> 00:44:41,400
can take a simple thing as a car you sit

916
00:44:39,079 –> 00:44:43,920
in a car is designed to carry person

917
00:44:41,400 –> 00:44:48,920
from A to B and there will be always

918
00:44:43,920 –> 00:44:51,359
some uh crazy person or someone that uh

919
00:44:48,920 –> 00:44:55,359
uh strange intent that we use a car as a

920
00:44:51,359 –> 00:44:58,119
weapon M Bad actors it’s this is uh

921
00:44:55,359 –> 00:45:01,040
invertible I think in in in any uses of

922
00:44:58,119 –> 00:45:04,280
a technology but um that’s why you do

923
00:45:01,040 –> 00:45:06,559
have a I think a government in this case

924
00:45:04,280 –> 00:45:08,760
uh it’s important to set certain level

925
00:45:06,559 –> 00:45:12,400
of boundaries this is how we’re going to

926
00:45:08,760 –> 00:45:16,240
use it yes think about the cloning yes

927
00:45:12,400 –> 00:45:20,000
people could be cloned we know this and

928
00:45:16,240 –> 00:45:23,440
so far animals done yeah but but that’s

929
00:45:20,000 –> 00:45:25,960
the because of the strong boundaries and

930
00:45:23,440 –> 00:45:27,839
regulations in the Western World this

931
00:45:25,960 –> 00:45:31,400
didn’t really happen or at least we

932
00:45:27,839 –> 00:45:33,800
don’t know of and um same thing is going

933
00:45:31,400 –> 00:45:36,119
to be with this technology there will be

934
00:45:33,800 –> 00:45:39,839
a certain limits um where it’s going to

935
00:45:36,119 –> 00:45:42,319
be allowed to be done and in in in my

936
00:45:39,839 –> 00:45:44,839
opinion

937
00:45:42,319 –> 00:45:48,200
99.999% it’s going to be a good use and

938
00:45:44,839 –> 00:45:50,319
yes you will get some bad situations and

939
00:45:48,200 –> 00:45:54,040
probably highlighted and that will be in

940
00:45:50,319 –> 00:45:57,160
the news but in general life um majority

941
00:45:54,040 –> 00:45:59,640
will be U very positive so you are not

942
00:45:57,160 –> 00:46:02,520
worried about you know a kind of

943
00:45:59,640 –> 00:46:06,200
Terminator like scenario where

944
00:46:02,520 –> 00:46:08,800
intelligence um learns and escapes and

945
00:46:06,200 –> 00:46:12,480
starts to control the

946
00:46:08,800 –> 00:46:16,040
world I mean at the end of the day

947
00:46:12,480 –> 00:46:19,280
um the the I call it so right now we’re

948
00:46:16,040 –> 00:46:21,240
in the era of some people still it’s

949
00:46:19,280 –> 00:46:24,200
kind of overlapping two eras one is an

950
00:46:21,240 –> 00:46:26,359
industry 4.0 where you’re trying to

951
00:46:24,200 –> 00:46:29,599
eliminate a human completely and have

952
00:46:26,359 –> 00:46:31,920
machines doing everything by themselves

953
00:46:29,599 –> 00:46:34,240
and there is a industry 5.0 where people

954
00:46:31,920 –> 00:46:36,400
realize uh you know what um I don’t

955
00:46:34,240 –> 00:46:38,800
think the machines can do everything by

956
00:46:36,400 –> 00:46:41,839
themselves we actually need a human and

957
00:46:38,800 –> 00:46:44,960
we need to make sure they machine and

958
00:46:41,839 –> 00:46:47,680
human can collaborate together in a way

959
00:46:44,960 –> 00:46:50,640
that the machine helps human and that’s

960
00:46:47,680 –> 00:46:53,359
the industry 5.0 where you start

961
00:46:50,640 –> 00:46:55,720
thinking about this methods or

962
00:46:53,359 –> 00:46:59,040
interfaces or how this technology will

963
00:46:55,720 –> 00:47:01,359
be so much better if if I bring decision

964
00:46:59,040 –> 00:47:03,520
points to a human so a human can make

965
00:47:01,359 –> 00:47:05,440
certain decisions sure some of those

966
00:47:03,520 –> 00:47:07,280
decisions over time will be taken over

967
00:47:05,440 –> 00:47:09,960
by machines if those are simpler

968
00:47:07,280 –> 00:47:11,760
decisions but humans still have this

969
00:47:09,960 –> 00:47:16,920
ability to make

970
00:47:11,760 –> 00:47:19,000
a a very um ad hoc decisions that

971
00:47:16,920 –> 00:47:21,040
machines can’t I mean I’ve seen it all

972
00:47:19,000 –> 00:47:23,520
the time with visual inspection so

973
00:47:21,040 –> 00:47:26,119
imagine I show you a surface as a human

974
00:47:23,520 –> 00:47:27,920
and I ask you without telling you I ask

975
00:47:26,119 –> 00:47:30,240
you do you think this surface is fine or

976
00:47:27,920 –> 00:47:33,200
there is a problem you’re going to take

977
00:47:30,240 –> 00:47:37,079
a look say oh I don’t like this how did

978
00:47:33,200 –> 00:47:39,720
you know this is a problem somehow you

979
00:47:37,079 –> 00:47:42,680
look at this and you see I don’t like

980
00:47:39,720 –> 00:47:44,440
this dot on the surface or I don’t like

981
00:47:42,680 –> 00:47:46,640
this because you gained so much

982
00:47:44,440 –> 00:47:48,680
experience right over the years so you

983
00:47:46,640 –> 00:47:50,599
know what what’s good this is the human

984
00:47:48,680 –> 00:47:53,440
perception machine can’t do

985
00:47:50,599 –> 00:47:57,200
that you you can tell machine you can

986
00:47:53,440 –> 00:47:59,200
show them good parts but it’s still um

987
00:47:57,200 –> 00:48:01,079
sure with proper training Etc the

988
00:47:59,200 –> 00:48:03,720
machines are pretty accurate they they

989
00:48:01,079 –> 00:48:08,480
can get pretty far but they don’t have

990
00:48:03,720 –> 00:48:11,599
this ability yet maybe in the future to

991
00:48:08,480 –> 00:48:14,400
do something without much of a learning

992
00:48:11,599 –> 00:48:16,960
that I just do it first time um and and

993
00:48:14,400 –> 00:48:20,359
they will figure out if um if something

994
00:48:16,960 –> 00:48:22,280
is broken around your house you you may

995
00:48:20,359 –> 00:48:24,040
call somebody or or you may oh I need to

996
00:48:22,280 –> 00:48:27,119
fix it somehow the machine will have to

997
00:48:24,040 –> 00:48:31,240
be programmed to do those things I

998
00:48:27,119 –> 00:48:34,960
recently watched this um interview with

999
00:48:31,240 –> 00:48:38,240
um the scientist franois shalet he used

1000
00:48:34,960 –> 00:48:41,480
to work for Google and he basically

1001
00:48:38,240 –> 00:48:46,839
developed this kind of um model or way

1002
00:48:41,480 –> 00:48:51,000
of um understanding intelligence uh

1003
00:48:46,839 –> 00:48:54,280
within within algorithms and he says and

1004
00:48:51,000 –> 00:48:58,319
that the way we at this point we are

1005
00:48:54,280 –> 00:49:00,079
creating the an LM so you know the CH

1006
00:48:58,319 –> 00:49:04,079
GPT clae and

1007
00:49:00,079 –> 00:49:07,000
all uh assistant uh the way they are

1008
00:49:04,079 –> 00:49:10,400
designed and programmed right now it

1009
00:49:07,000 –> 00:49:15,119
won’t let us it won’t let us arrive to

1010
00:49:10,400 –> 00:49:17,880
AGI which is the human level human uh

1011
00:49:15,119 –> 00:49:21,440
like intelligence because that’s what

1012
00:49:17,880 –> 00:49:22,440
you you just said that machine is not

1013
00:49:21,440 –> 00:49:26,079
able

1014
00:49:22,440 –> 00:49:29,280
to they are accurate they can see spot

1015
00:49:26,079 –> 00:49:32,280
the the the mistakes or problems if

1016
00:49:29,280 –> 00:49:35,000
they’ve been trained on such problems so

1017
00:49:32,280 –> 00:49:37,559
they they can just match what they’ve

1018
00:49:35,000 –> 00:49:41,799
already been seen what they what they

1019
00:49:37,559 –> 00:49:45,880
already seen but um humans especially

1020
00:49:41,799 –> 00:49:49,680
when you think about kids they come uh

1021
00:49:45,880 –> 00:49:52,200
with a very basic or no no knowledge uh

1022
00:49:49,680 –> 00:49:55,359
about the world but somehow they have

1023
00:49:52,200 –> 00:49:58,920
those Ines it’s it’s intelligence right

1024
00:49:55,359 –> 00:50:01,839
so they can learn without um previously

1025
00:49:58,920 –> 00:50:03,799
encount having encountered some as some

1026
00:50:01,839 –> 00:50:07,400
situation they usually learn because

1027
00:50:03,799 –> 00:50:10,079
they observing a world around and if you

1028
00:50:07,400 –> 00:50:12,119
have a siblings that teach them bad

1029
00:50:10,079 –> 00:50:15,119
things that they can learn sooner or

1030
00:50:12,119 –> 00:50:18,520
later yes or colleagues it’s cool um

1031
00:50:15,119 –> 00:50:21,440
that’s how it works but um I’m thinking

1032
00:50:18,520 –> 00:50:23,480
more um even though we say that the

1033
00:50:21,440 –> 00:50:27,079
animals don’t have a ton of intelligence

1034
00:50:23,480 –> 00:50:31,480
but somehow um a fly or a bird or

1035
00:50:27,079 –> 00:50:35,040
something that’s born uh hged from egg

1036
00:50:31,480 –> 00:50:37,559
and knows what to do because they are

1037
00:50:35,040 –> 00:50:40,400
programmed in in this way they they know

1038
00:50:37,559 –> 00:50:43,319
what to do but they won’t know anything

1039
00:50:40,400 –> 00:50:45,520
else yeah I understand but they they

1040
00:50:43,319 –> 00:50:47,040
don’t pass the experiences so if one

1041
00:50:45,520 –> 00:50:48,520
learns something they don’t pass this

1042
00:50:47,040 –> 00:50:51,000
and that’s the difference between us

1043
00:50:48,520 –> 00:50:54,480
that we do pass the experiences yes we

1044
00:50:51,000 –> 00:50:57,200
can share we can exchange the knowledge

1045
00:50:54,480 –> 00:51:00,520
if we wouldn’t share so in the future

1046
00:50:57,200 –> 00:51:02,319
uh can machine share uh information sure

1047
00:51:00,520 –> 00:51:04,640
if you if you treat the machines as a

1048
00:51:02,319 –> 00:51:06,079
sworn that you have a multiple locations

1049
00:51:04,640 –> 00:51:07,920
of the same technology and the

1050
00:51:06,079 –> 00:51:09,960
technology hey I’ve learned something

1051
00:51:07,920 –> 00:51:13,160
here I’ve learned something there you

1052
00:51:09,960 –> 00:51:16,720
could you could use this um I see a huge

1053
00:51:13,160 –> 00:51:21,240
potential in medical world where today

1054
00:51:16,720 –> 00:51:24,440
you go to a doctor and um you are given

1055
00:51:21,240 –> 00:51:28,400
a um a decision yes based on his

1056
00:51:24,440 –> 00:51:31,640
knowledge or her knowledge um but in the

1057
00:51:28,400 –> 00:51:34,760
future they can be aided by a systems

1058
00:51:31,640 –> 00:51:37,760
where for example instead of reviewing a

1059
00:51:34,760 –> 00:51:40,680
CT Imaging or reviewing uh ultrasound

1060
00:51:37,760 –> 00:51:43,160
Etc machine can analyze in every

1061
00:51:40,680 –> 00:51:45,520
possible Direction and can tell hey I

1062
00:51:43,160 –> 00:51:47,400
think there is a possibility for X Y and

1063
00:51:45,520 –> 00:51:50,920
Z and the doctor just looks yeah you’re

1064
00:51:47,400 –> 00:51:55,079
right I I I I agree and and and confirms

1065
00:51:50,920 –> 00:51:58,480
so it’s a more processed um information

1066
00:51:55,079 –> 00:52:01,480
um so you will be more like a prescri

1067
00:51:58,480 –> 00:52:04,079
prescriptive more than like forecasting

1068
00:52:01,480 –> 00:52:05,559
rather than what’s what’s right now yeah

1069
00:52:04,079 –> 00:52:08,559
it will be knowledge of a thousand

1070
00:52:05,559 –> 00:52:12,240
doctors rather than one uh combined

1071
00:52:08,559 –> 00:52:15,280
together and and down selecting the the

1072
00:52:12,240 –> 00:52:18,200
very possibilities so it will be faster

1073
00:52:15,280 –> 00:52:20,200
way of of detecting what’s really

1074
00:52:18,200 –> 00:52:23,040
happening and faster way of curing

1075
00:52:20,200 –> 00:52:27,040
things that what’s really happening Etc

1076
00:52:23,040 –> 00:52:30,280
yeah yeah at andite we use the term term

1077
00:52:27,040 –> 00:52:32,760
Collective wisdom or tribal knowledge

1078
00:52:30,280 –> 00:52:35,400
that kind of like you said like bringing

1079
00:52:32,760 –> 00:52:38,799
information from many different sources

1080
00:52:35,400 –> 00:52:42,040
written or said about from different by

1081
00:52:38,799 –> 00:52:44,599
different people and then understanding

1082
00:52:42,040 –> 00:52:48,079
what’s what’s real what’s not uh and

1083
00:52:44,599 –> 00:52:53,319
what can help at the um particular

1084
00:52:48,079 –> 00:52:55,960
situation but let’s go back to your uh

1085
00:52:53,319 –> 00:52:57,480
Innovation like PP perception of

1086
00:52:55,960 –> 00:53:00,559
innovation

1087
00:52:57,480 –> 00:53:02,400
uh so many times we’ve been uh talking

1088
00:53:00,559 –> 00:53:05,319
and you were giving me so many different

1089
00:53:02,400 –> 00:53:09,160
stories you had in your uh professional

1090
00:53:05,319 –> 00:53:14,240
career uh it shows how much of a outof

1091
00:53:09,160 –> 00:53:17,000
thee boox thinker you are um did do you

1092
00:53:14,240 –> 00:53:21,359
or can you recall the time when it led

1093
00:53:17,000 –> 00:53:23,880
you to um a solution which others

1094
00:53:21,359 –> 00:53:25,960
overlooked it’s always um a good

1095
00:53:23,880 –> 00:53:29,119
question I’ll say the need uh is a

1096
00:53:25,960 –> 00:53:31,319
matter of of a lot of inventions yes and

1097
00:53:29,119 –> 00:53:33,559
um one good example I mean there are

1098
00:53:31,319 –> 00:53:35,799
some that I can’t talk about but the one

1099
00:53:33,559 –> 00:53:41,720
that I can mention um there is actually

1100
00:53:35,799 –> 00:53:45,119
a um CRP paper uh with um a realization

1101
00:53:41,720 –> 00:53:47,480
of Industry 4.0 of highspeed CT in mass

1102
00:53:45,119 –> 00:53:51,119
production when you when you take those

1103
00:53:47,480 –> 00:53:55,680
words me yeah so so in explanation when

1104
00:53:51,119 –> 00:53:59,480
you think about 3D x-ray which is the CT

1105
00:53:55,680 –> 00:54:03,839
um in real it to image a part in 3D it

1106
00:53:59,480 –> 00:54:06,240
takes tens of minutes yes so it’s not a

1107
00:54:03,839 –> 00:54:07,640
fast process today maybe faster but in

1108
00:54:06,240 –> 00:54:10,440
general that’s that’s the general

1109
00:54:07,640 –> 00:54:13,200
perception of of the world of the

1110
00:54:10,440 –> 00:54:15,640
manufacturing world and therefore

1111
00:54:13,200 –> 00:54:18,680
automatically when you think about mass

1112
00:54:15,640 –> 00:54:21,240
production of uh items like in consume

1113
00:54:18,680 –> 00:54:24,040
Electronics where you have a lot of them

1114
00:54:21,240 –> 00:54:26,559
um hundreds of thousands of millions uh

1115
00:54:24,040 –> 00:54:28,920
even per day it’s it’s impossible you

1116
00:54:26,559 –> 00:54:34,040
take a very slow thing and and how can

1117
00:54:28,920 –> 00:54:37,200
you do this to make a technology capable

1118
00:54:34,040 –> 00:54:40,559
of not only inspecting selectively but

1119
00:54:37,200 –> 00:54:41,799
doing 100% every single one so when you

1120
00:54:40,559 –> 00:54:43,359
when you see this from normal

1121
00:54:41,799 –> 00:54:44,559
perspective just just this is Mission

1122
00:54:43,359 –> 00:54:48,160
Impossible you would need so many

1123
00:54:44,559 –> 00:54:51,960
machines and and and I had a customer um

1124
00:54:48,160 –> 00:54:54,960
a leading consumer electronics uh um OEM

1125
00:54:51,960 –> 00:54:57,559
and they truly had the need to do this

1126
00:54:54,960 –> 00:55:00,520
and um

1127
00:54:57,559 –> 00:55:03,640
we this was very interesting because of

1128
00:55:00,520 –> 00:55:08,520
course uh a company had had those

1129
00:55:03,640 –> 00:55:11,839
machines and there was a a software well

1130
00:55:08,520 –> 00:55:14,240
known by everybody in that um in that

1131
00:55:11,839 –> 00:55:16,000
world so imagine like okay if you have a

1132
00:55:14,240 –> 00:55:18,760
PC you need a Windows or if you have a

1133
00:55:16,000 –> 00:55:21,440
Mac you need iOS and suddenly we’re

1134
00:55:18,760 –> 00:55:23,520
doing analysis and through some

1135
00:55:21,440 –> 00:55:25,079
experiments I came to conclusion that

1136
00:55:23,520 –> 00:55:26,920
the machine’s fine but the software is

1137
00:55:25,079 –> 00:55:28,319
the one that is limiting factor

1138
00:55:26,920 –> 00:55:29,960
people normally don’t think that way

1139
00:55:28,319 –> 00:55:32,400
they they say oh no software is this the

1140
00:55:29,960 –> 00:55:35,280
thing the machine is too slow no machine

1141
00:55:32,400 –> 00:55:38,200
is fine I can I can do things uh it’s

1142
00:55:35,280 –> 00:55:40,079
very stable I have to think the way I

1143
00:55:38,200 –> 00:55:41,960
have to completely change the way how we

1144
00:55:40,079 –> 00:55:44,480
think about the data processing and the

1145
00:55:41,960 –> 00:55:47,440
software and what it’s going to be doing

1146
00:55:44,480 –> 00:55:50,520
so we’ve run some experiments and

1147
00:55:47,440 –> 00:55:53,680
completely changed everything on the

1148
00:55:50,520 –> 00:55:56,359
software side and I’ve made the same

1149
00:55:53,680 –> 00:55:59,400
piece of Hardware a thousand times

1150
00:55:56,359 –> 00:56:02,160
faster that’s a good uh result for for

1151
00:55:59,400 –> 00:56:04,000
your leadership and it was not moving

1152
00:56:02,160 –> 00:56:06,119
like thousand times faster or anything

1153
00:56:04,000 –> 00:56:08,319
harder was working the way how was

1154
00:56:06,119 –> 00:56:12,440
intended but the way how we started

1155
00:56:08,319 –> 00:56:15,880
doing everything else it enabled us to

1156
00:56:12,440 –> 00:56:19,559
significantly increase the tro and while

1157
00:56:15,880 –> 00:56:23,119
maintaining the accuracy that’s needed

1158
00:56:19,559 –> 00:56:26,319
and at top of it we completely automated

1159
00:56:23,119 –> 00:56:29,799
the process so a person without any

1160
00:56:26,319 –> 00:56:34,520
knowled whatsoever about CT or

1161
00:56:29,799 –> 00:56:36,720
technology um they could load the parts

1162
00:56:34,520 –> 00:56:38,599
and there was only one button close the

1163
00:56:36,720 –> 00:56:39,720
door only because the customer wanted

1164
00:56:38,599 –> 00:56:41,039
and everything was happening

1165
00:56:39,720 –> 00:56:43,920
automatically machine would

1166
00:56:41,039 –> 00:56:46,240
automatically image automatically select

1167
00:56:43,920 –> 00:56:49,480
parts that had problems automatically

1168
00:56:46,240 –> 00:56:53,000
find the situations and present the

1169
00:56:49,480 –> 00:56:56,839
results and and segregate the parts and

1170
00:56:53,000 –> 00:56:59,000
this is this was a true um

1171
00:56:56,839 –> 00:57:02,119
uh true

1172
00:56:59,000 –> 00:57:03,680
Innovation but not like sometimes people

1173
00:57:02,119 –> 00:57:05,640
think you have to go and dig from the

1174
00:57:03,680 –> 00:57:08,440
very beginning is that’s that’s why what

1175
00:57:05,640 –> 00:57:10,920
I why what I see a lot of similarities

1176
00:57:08,440 –> 00:57:12,039
with unite you’re not trying to create a

1177
00:57:10,920 –> 00:57:14,599
new data

1178
00:57:12,039 –> 00:57:16,520
sources you’re just trying to you you

1179
00:57:14,599 –> 00:57:19,200
what you’re doing is you’re approaching

1180
00:57:16,520 –> 00:57:21,559
this from a different point of view why

1181
00:57:19,200 –> 00:57:23,760
should we go always the same path like

1182
00:57:21,559 –> 00:57:26,640
we’ve been doing in the past 20 years

1183
00:57:23,760 –> 00:57:30,960
yes this was good in the last 20 years

1184
00:57:26,640 –> 00:57:35,480
but it is very different now yes we do

1185
00:57:30,960 –> 00:57:38,599
we both agree that um leaders

1186
00:57:35,480 –> 00:57:43,079
usually ignore the fact that things

1187
00:57:38,599 –> 00:57:46,480
could could be done better but I guess

1188
00:57:43,079 –> 00:57:50,000
the the reason why this is happening is

1189
00:57:46,480 –> 00:57:52,039
because they don’t have right data lit

1190
00:57:50,000 –> 00:57:55,240
literacy and they don’t understand

1191
00:57:52,039 –> 00:57:57,319
what’s what’s possible I I I would agree

1192
00:57:55,240 –> 00:57:58,640
with you I mean part of a problem is

1193
00:57:57,319 –> 00:58:02,319
that

1194
00:57:58,640 –> 00:58:06,920
um you have um the more senior leaders

1195
00:58:02,319 –> 00:58:09,760
you have um the more uh maybe unsure

1196
00:58:06,920 –> 00:58:10,960
they feel with the latest uh technology

1197
00:58:09,760 –> 00:58:13,480
I mean you don’t have to go to

1198
00:58:10,960 –> 00:58:16,119
corporations to know this I mean with

1199
00:58:13,480 –> 00:58:17,599
kids yes people always amazed oh my

1200
00:58:16,119 –> 00:58:19,200
child is only a few years old and they

1201
00:58:17,599 –> 00:58:23,640
already figure out how to do it that’s

1202
00:58:19,200 –> 00:58:24,839
the challenge yes um as we progress the

1203
00:58:23,640 –> 00:58:27,799
younger

1204
00:58:24,839 –> 00:58:30,039
generation is born with the technology

1205
00:58:27,799 –> 00:58:32,319
and they understand they think

1206
00:58:30,039 –> 00:58:33,960
differently companies in general I mean

1207
00:58:32,319 –> 00:58:38,280
humans don’t like

1208
00:58:33,960 –> 00:58:42,280
change U we we we like new things but um

1209
00:58:38,280 –> 00:58:43,960
we don’t like disruption yes and um what

1210
00:58:42,280 –> 00:58:46,160
always amazes me when you go to

1211
00:58:43,960 –> 00:58:47,799
companies and they say yeah we have been

1212
00:58:46,160 –> 00:58:50,160
doing this for so many years and it

1213
00:58:47,799 –> 00:58:51,839
worked and my answer to this is that’s

1214
00:58:50,160 –> 00:58:53,039
the first reason why we should look into

1215
00:58:51,839 –> 00:58:56,240
this because you’ve been doing this

1216
00:58:53,039 –> 00:58:59,280
already for so many years

1217
00:58:56,240 –> 00:59:01,799
and the progress is um is happening and

1218
00:58:59,280 –> 00:59:04,880
it’s always the philosophy or the the

1219
00:59:01,799 –> 00:59:07,640
thought process that um when you’re

1220
00:59:04,880 –> 00:59:09,599
investing in new changes it takes time

1221
00:59:07,640 –> 00:59:11,599
for companies to learn how to make money

1222
00:59:09,599 –> 00:59:13,880
on something so they don’t want to be in

1223
00:59:11,599 –> 00:59:16,559
a constant Loop of spending unbelievable

1224
00:59:13,880 –> 00:59:18,720
amount of money to to Really to now

1225
00:59:16,559 –> 00:59:20,200
revamp again because spending is one

1226
00:59:18,720 –> 00:59:23,079
thing then you have to train people then

1227
00:59:20,200 –> 00:59:26,440
you have to do this it’s like a constant

1228
00:59:23,079 –> 00:59:29,599
problem so

1229
00:59:26,440 –> 00:59:32,920
now you added AI at top of it and a lot

1230
00:59:29,599 –> 00:59:35,640
of companies leaders are are are really

1231
00:59:32,920 –> 00:59:37,880
nervous because they wondering how do we

1232
00:59:35,640 –> 00:59:40,079
want to use this AI how is our company

1233
00:59:37,880 –> 00:59:42,480
going to survive with all of this

1234
00:59:40,079 –> 00:59:47,520
because now this is this is going to be

1235
00:59:42,480 –> 00:59:49,680
really U challenging and they think

1236
00:59:47,520 –> 00:59:53,319
about those changes especially with a

1237
00:59:49,680 –> 00:59:56,880
data side that those are big monstrous

1238
00:59:53,319 –> 01:00:00,119
projects and that’s where I mentioned

1239
00:59:56,880 –> 01:00:04,359
really before what I liked about unite

1240
01:00:00,119 –> 01:00:08,200
is you do this in a very different way

1241
01:00:04,359 –> 01:00:12,119
you don’t need this giant construction

1242
01:00:08,200 –> 01:00:15,079
space so companies should not be afraid

1243
01:00:12,119 –> 01:00:19,039
to try because it’s not going to turn

1244
01:00:15,079 –> 01:00:21,920
the life upside down it’s it’s designed

1245
01:00:19,039 –> 01:00:24,599
for taking small bites is designed to

1246
01:00:21,920 –> 01:00:27,000
make it make them work right away and

1247
01:00:24,599 –> 01:00:31,839
this is the level of thinking that has

1248
01:00:27,000 –> 01:00:34,520
to be um enabled in organizations to see

1249
01:00:31,839 –> 01:00:36,599
you know okay we had the era where the

1250
01:00:34,520 –> 01:00:40,359
big changes because think about their

1251
01:00:36,599 –> 01:00:42,799
experiences yes just going through from

1252
01:00:40,359 –> 01:00:44,200
one pay system to another Pace system

1253
01:00:42,799 –> 01:00:46,559
there’s probably a lot of people with

1254
01:00:44,200 –> 01:00:48,359
gray hair in every company that just had

1255
01:00:46,559 –> 01:00:51,079
to go through this and this was so

1256
01:00:48,359 –> 01:00:53,359
nerve-wracking and so difficult and so

1257
01:00:51,079 –> 01:00:55,319
challenging and many of them don’t work

1258
01:00:53,359 –> 01:00:56,960
there anymore so you just don’t know you

1259
01:00:55,319 –> 01:00:58,160
don’t want to touch it

1260
01:00:56,960 –> 01:01:00,720
yeah you don’t want to touch it you

1261
01:00:58,160 –> 01:01:03,720
don’t know what’s really going on and

1262
01:01:00,720 –> 01:01:05,920
and and they afraid and that’s the I

1263
01:01:03,720 –> 01:01:09,039
think the most important part is to

1264
01:01:05,920 –> 01:01:12,079
understand I’m not touching your systems

1265
01:01:09,039 –> 01:01:15,160
I’m not disrupting your work I’m not

1266
01:01:12,079 –> 01:01:19,280
making your life harder I will just add

1267
01:01:15,160 –> 01:01:21,640
on a separate service that is connecting

1268
01:01:19,280 –> 01:01:26,000
you maintaining everything have you done

1269
01:01:21,640 –> 01:01:28,000
but you can now move gradually and steps

1270
01:01:26,000 –> 01:01:29,880
you can decide which group takes the

1271
01:01:28,000 –> 01:01:33,079
first step which group is start using

1272
01:01:29,880 –> 01:01:37,359
the first benefits which is next one Etc

1273
01:01:33,079 –> 01:01:39,520
and I think this also helps to alleviate

1274
01:01:37,359 –> 01:01:42,920
the risk or reduce the risk

1275
01:01:39,520 –> 01:01:44,880
significantly but also reduce the worry

1276
01:01:42,920 –> 01:01:47,680
that oh my God this is just it’s going

1277
01:01:44,880 –> 01:01:50,240
to be a big it’s not strategic decision

1278
01:01:47,680 –> 01:01:52,799
anymore we’re not talking about

1279
01:01:50,240 –> 01:01:56,119
completely overhauling the basis of a

1280
01:01:52,799 –> 01:01:59,559
company we talking to add-on so this is

1281
01:01:56,119 –> 01:02:01,920
more like you know you bought a computer

1282
01:01:59,559 –> 01:02:05,480
okay that’s your major decision now I

1283
01:02:01,920 –> 01:02:07,559
need to get a mouse okay this is nobody

1284
01:02:05,480 –> 01:02:09,760
cares I mean it’s it’s it’s your

1285
01:02:07,559 –> 01:02:11,960
preference that’s the level of decision

1286
01:02:09,760 –> 01:02:15,160
you have to make don’t worry we’re not

1287
01:02:11,960 –> 01:02:16,599
going to touch your big system we just

1288
01:02:15,160 –> 01:02:19,359
we’re just adding a certain things

1289
01:02:16,599 –> 01:02:24,319
around to make it much easier to operate

1290
01:02:19,359 –> 01:02:28,520
with yeah but I guess also um why people

1291
01:02:24,319 –> 01:02:31,920
may be reluctant to use any uh like new

1292
01:02:28,520 –> 01:02:35,279
cutting Cutting Edge um technology is

1293
01:02:31,920 –> 01:02:38,720
that they feel they will be redundant uh

1294
01:02:35,279 –> 01:02:41,119
because the way we do our work right now

1295
01:02:38,720 –> 01:02:45,039
changed compared to you know how we’ve

1296
01:02:41,119 –> 01:02:49,520
done it 50 years or 100 years ago um and

1297
01:02:45,039 –> 01:02:53,119
there is more and more areas which um

1298
01:02:49,520 –> 01:02:58,839
computers can do so maybe part of the

1299
01:02:53,119 –> 01:03:00,240
the reluctance is is this that they they

1300
01:02:58,839 –> 01:03:06,279
like people don’t

1301
01:03:00,240 –> 01:03:09,839
know what skills and or what areas of um

1302
01:03:06,279 –> 01:03:13,559
of work will be left for

1303
01:03:09,839 –> 01:03:17,160
them what do you find um which makes us

1304
01:03:13,559 –> 01:03:19,799
uniquely human and which you know

1305
01:03:17,160 –> 01:03:22,079
computers machines won’t will never ever

1306
01:03:19,799 –> 01:03:26,480
be able or maybe not Never Never Say

1307
01:03:22,079 –> 01:03:27,839
Never but will not be able to do for

1308
01:03:26,480 –> 01:03:30,160
quite some

1309
01:03:27,839 –> 01:03:31,760
time I’ll approach this question a

1310
01:03:30,160 –> 01:03:35,039
little bit differently look at the

1311
01:03:31,760 –> 01:03:37,599
history there’s always a fear that oh my

1312
01:03:35,039 –> 01:03:41,279
God now those jobs are gone and what are

1313
01:03:37,599 –> 01:03:43,039
we going to be doing go 100 years back

1314
01:03:41,279 –> 01:03:46,559
and think about

1315
01:03:43,039 –> 01:03:49,119
agriculture um significant percentage of

1316
01:03:46,559 –> 01:03:51,160
U of humans have been working in the

1317
01:03:49,119 –> 01:03:53,720
fields during a spring and and

1318
01:03:51,160 –> 01:03:57,000
especially harvesting time yes I still

1319
01:03:53,720 –> 01:03:59,640
remember as a child that my God now is

1320
01:03:57,000 –> 01:04:01,880
uh this season or this season and

1321
01:03:59,640 –> 01:04:05,880
Farmers needed so many hands to help

1322
01:04:01,880 –> 01:04:08,440
them okay that was changed with all the

1323
01:04:05,880 –> 01:04:10,119
Machinery today you may have a farmer

1324
01:04:08,440 –> 01:04:12,160
and if they have the newest equipment he

1325
01:04:10,119 –> 01:04:13,960
can be sitting at the at home and his

1326
01:04:12,160 –> 01:04:16,799
tractor will be going on the field based

1327
01:04:13,960 –> 01:04:19,079
in the GPS and doing this by itself did

1328
01:04:16,799 –> 01:04:21,200
it make a revolution that people

1329
01:04:19,079 –> 01:04:24,960
suddenly lost the jobs no they move to

1330
01:04:21,200 –> 01:04:26,799
different jobs think about simp we

1331
01:04:24,960 –> 01:04:29,680
talking Corporation okay let’s go

1332
01:04:26,799 –> 01:04:32,200
computers came on board in the past you

1333
01:04:29,680 –> 01:04:32,880
had many typists people been typing on

1334
01:04:32,200 –> 01:04:35,400
the

1335
01:04:32,880 –> 01:04:37,319
typewriters this is gone okay I can do

1336
01:04:35,400 –> 01:04:39,240
on a computer many more documents I can

1337
01:04:37,319 –> 01:04:42,319
reduct the same document I don’t have to

1338
01:04:39,240 –> 01:04:46,640
retype the document Etc did it make a

1339
01:04:42,319 –> 01:04:48,200
change no in um manufacturing you had

1340
01:04:46,640 –> 01:04:51,440
unbelievable number of people who’ve

1341
01:04:48,200 –> 01:04:53,319
been doing drawings my hand every part

1342
01:04:51,440 –> 01:04:55,880
every cross-section of the part I

1343
01:04:53,319 –> 01:04:57,960
remember in some organizations you walk

1344
01:04:55,880 –> 01:05:00,440
in and you see those endless tables of a

1345
01:04:57,960 –> 01:05:03,200
lot of drafters to making those drawings

1346
01:05:00,440 –> 01:05:07,559
okay computer came in C systems came in

1347
01:05:03,200 –> 01:05:10,039
all those people moved to different jobs

1348
01:05:07,559 –> 01:05:13,079
and you still hear there is a the lowest

1349
01:05:10,039 –> 01:05:15,279
levels unemployment and you still can’t

1350
01:05:13,079 –> 01:05:18,599
find skilled people you skilled you

1351
01:05:15,279 –> 01:05:20,559
can’t find any people to work and we

1352
01:05:18,599 –> 01:05:22,799
always worry about oh my God we’re GNA

1353
01:05:20,559 –> 01:05:26,480
now make another change for the last 100

1354
01:05:22,799 –> 01:05:30,359
years it was a constant move from one

1355
01:05:26,480 –> 01:05:33,839
step to another and people adopted and

1356
01:05:30,359 –> 01:05:36,319
new jobs showed up think about just with

1357
01:05:33,839 –> 01:05:39,279
a smartphone you have apps you have

1358
01:05:36,319 –> 01:05:41,920
somebody have to be doing this those

1359
01:05:39,279 –> 01:05:44,839
jobs did not exist at 10 years ago so

1360
01:05:41,920 –> 01:05:48,039
new technology new innovation brings a

1361
01:05:44,839 –> 01:05:50,520
new potentials for new jobs new types of

1362
01:05:48,039 –> 01:05:52,599
jobs yes the old ones will be gone but

1363
01:05:50,520 –> 01:05:55,160
there was always a new on that that

1364
01:05:52,599 –> 01:05:56,440
showing in so it’s a it’s a constant uh

1365
01:05:55,160 –> 01:05:58,520
re

1366
01:05:56,440 –> 01:06:01,920
Reinventing of the job

1367
01:05:58,520 –> 01:06:02,960
market so how people can um make sure

1368
01:06:01,920 –> 01:06:05,880
that

1369
01:06:02,960 –> 01:06:08,160
they learn the right skills to stay

1370
01:06:05,880 –> 01:06:12,079
relevant on the job

1371
01:06:08,160 –> 01:06:15,160
market I I’ll say It’s always important

1372
01:06:12,079 –> 01:06:16,640
to do what you like to do um and and you

1373
01:06:15,160 –> 01:06:18,799
going to understand what’s I like to

1374
01:06:16,640 –> 01:06:21,480
type right on the typ typing machine and

1375
01:06:18,799 –> 01:06:24,599
what’s what’s done you can still typew

1376
01:06:21,480 –> 01:06:26,279
right on the on the computer and and and

1377
01:06:24,599 –> 01:06:28,240
this will be fine I mean there of course

1378
01:06:26,279 –> 01:06:30,279
some of those activities become more

1379
01:06:28,240 –> 01:06:33,279
like a Hobbies yes people have old cars

1380
01:06:30,279 –> 01:06:35,559
the old cars nobody sells them anymore

1381
01:06:33,279 –> 01:06:37,599
but there is a plenty Hobbes that will

1382
01:06:35,559 –> 01:06:41,240
renovate them and rebuild and they have

1383
01:06:37,599 –> 01:06:43,599
a great pride of of this so this becomes

1384
01:06:41,240 –> 01:06:45,839
a more a hobby rather than

1385
01:06:43,599 –> 01:06:48,119
collectible rather than rather than a

1386
01:06:45,839 –> 01:06:49,640
job but it’s Nobody Knows the answer to

1387
01:06:48,119 –> 01:06:52,039
be frankly honest because everything is

1388
01:06:49,640 –> 01:06:54,039
changing all the time some people might

1389
01:06:52,039 –> 01:06:55,799
say oh it’s only software yeah but

1390
01:06:54,039 –> 01:06:57,599
software is the one thing but at the end

1391
01:06:55,799 –> 01:07:01,119
of the day we need to eat food we need

1392
01:06:57,599 –> 01:07:04,200
to dress we need to grab devices this is

1393
01:07:01,119 –> 01:07:05,720
physical it has to exist somehow so

1394
01:07:04,200 –> 01:07:07,720
there is always the hybrid and

1395
01:07:05,720 –> 01:07:11,279
combination there may be a hype about

1396
01:07:07,720 –> 01:07:14,000
some aspects but um the simplest thing I

1397
01:07:11,279 –> 01:07:16,520
mean you you have a house you have

1398
01:07:14,000 –> 01:07:18,599
electrical system at home it has to work

1399
01:07:16,520 –> 01:07:20,880
yes otherwise none of your devices will

1400
01:07:18,599 –> 01:07:23,760
plug in so you have to have those basic

1401
01:07:20,880 –> 01:07:26,680
skills uh or basic skills those

1402
01:07:23,760 –> 01:07:29,119
specialized skills in electric it Etc to

1403
01:07:26,680 –> 01:07:31,000
put together so I I I truly believe that

1404
01:07:29,119 –> 01:07:34,480
there always will be a combination of

1405
01:07:31,000 –> 01:07:37,400
all those skill sets that will fit the

1406
01:07:34,480 –> 01:07:40,000
society and and everybody will find what

1407
01:07:37,400 –> 01:07:42,079
they need it’s just they always diverse

1408
01:07:40,000 –> 01:07:45,480
you mentioned hype how do you

1409
01:07:42,079 –> 01:07:48,000
distinguish between true Innovation and

1410
01:07:45,480 –> 01:07:50,640
and hype with with every Innovation

1411
01:07:48,000 –> 01:07:52,319
there is um um I’ll put it this way if

1412
01:07:50,640 –> 01:07:54,839
there is a hype it’s always it means

1413
01:07:52,319 –> 01:07:57,400
that people start thinking about it what

1414
01:07:54,839 –> 01:08:02,039
can we do how can I apply this here here

1415
01:07:57,400 –> 01:08:05,039
and there and um and then and then

1416
01:08:02,039 –> 01:08:07,079
things settle down you have a lot of uh

1417
01:08:05,039 –> 01:08:09,359
interesting ideas and some of them move

1418
01:08:07,079 –> 01:08:11,720
forward some of them not AI is not the

1419
01:08:09,359 –> 01:08:14,359
first and not the last hype that is that

1420
01:08:11,720 –> 01:08:16,359
is happening is one of a when I was a

1421
01:08:14,359 –> 01:08:19,279
student it was nanotechnology if you

1422
01:08:16,359 –> 01:08:21,400
didn’t use word Nano and something uh it

1423
01:08:19,279 –> 01:08:23,640
would not matter and it starts becoming

1424
01:08:21,400 –> 01:08:25,679
ridiculous because people who’ve been

1425
01:08:23,640 –> 01:08:28,199
using 10,000 nanometers still been

1426
01:08:25,679 –> 01:08:30,080
calling nanotechnology and as long as

1427
01:08:28,199 –> 01:08:32,880
you could reduce to this and had nothing

1428
01:08:30,080 –> 01:08:34,920
to do with a small size and even

1429
01:08:32,880 –> 01:08:37,199
chemists came to conclusion we also

1430
01:08:34,920 –> 01:08:39,560
nanotechnologist and we call it backet

1431
01:08:37,199 –> 01:08:42,480
technology hey without this is how it

1432
01:08:39,560 –> 01:08:44,960
works yes it’s it’s a mass process of

1433
01:08:42,480 –> 01:08:48,920
Nano uh chemical reactions that

1434
01:08:44,960 –> 01:08:50,759
happening but it’s in the mass skill but

1435
01:08:48,920 –> 01:08:52,839
they start saying yeah we Nano to but

1436
01:08:50,759 –> 01:08:55,120
the intention at the beginning was we

1437
01:08:52,839 –> 01:08:56,359
think about small tiny devices or small

1438
01:08:55,120 –> 01:08:59,159
to

1439
01:08:56,359 –> 01:09:00,759
Etc and it starts going this way and and

1440
01:08:59,159 –> 01:09:04,359
I think it’s the same thing going to be

1441
01:09:00,759 –> 01:09:06,319
with AI people will be looking to at I

1442
01:09:04,359 –> 01:09:08,120
don’t care how important this component

1443
01:09:06,319 –> 01:09:10,279
is I want to make sure that I can tell

1444
01:09:08,120 –> 01:09:12,960
my customers that there is AI in my

1445
01:09:10,279 –> 01:09:15,040
device or AI was used to help design

1446
01:09:12,960 –> 01:09:18,199
this device or AI was used to make

1447
01:09:15,040 –> 01:09:21,120
produce this just for sake of marketing

1448
01:09:18,199 –> 01:09:24,080
and that’s probably part of part of the

1449
01:09:21,120 –> 01:09:26,040
part of the hype completely agree I I

1450
01:09:24,080 –> 01:09:29,920
read so many um

1451
01:09:26,040 –> 01:09:34,880
um papers showing how uh startups or

1452
01:09:29,920 –> 01:09:37,719
companies which include AI powered by AI

1453
01:09:34,880 –> 01:09:41,400
in their marketing materials uh raise

1454
01:09:37,719 –> 01:09:44,799
more funds uh I can imagine this um just

1455
01:09:41,400 –> 01:09:47,640
look at the boards where uh Venture

1456
01:09:44,799 –> 01:09:50,600
capitals meeting and what kind of topics

1457
01:09:47,640 –> 01:09:52,440
they looking for AI is one of one of

1458
01:09:50,600 –> 01:09:54,159
them and they all they want I want to

1459
01:09:52,440 –> 01:09:57,199
invest my money in AI because they want

1460
01:09:54,159 –> 01:09:59,000
to tell each other I invested in AI I

1461
01:09:57,199 –> 01:10:02,640
don’t know what it is I don’t understand

1462
01:09:59,000 –> 01:10:05,560
but but it is AI maybe not not going to

1463
01:10:02,640 –> 01:10:09,920
the far but it is those things are

1464
01:10:05,560 –> 01:10:13,080
needed because it also revives the

1465
01:10:09,920 –> 01:10:16,880
cycle it creates acceleration with

1466
01:10:13,080 –> 01:10:19,480
everything else around yes it it

1467
01:10:16,880 –> 01:10:22,320
reinvents things that you thought that

1468
01:10:19,480 –> 01:10:24,600
maybe this is the end this is I mean

1469
01:10:22,320 –> 01:10:26,440
let’s use example in the kitchen what is

1470
01:10:24,600 –> 01:10:29,840
basic things you have a stove where you

1471
01:10:26,440 –> 01:10:32,880
can cook something you have a fridge uh

1472
01:10:29,840 –> 01:10:35,600
and few maybe order devices you say what

1473
01:10:32,880 –> 01:10:39,239
what else can I do but today you can get

1474
01:10:35,600 –> 01:10:41,960
a device that will be telling you step

1475
01:10:39,239 –> 01:10:44,000
by step what to do how to put things

1476
01:10:41,960 –> 01:10:48,320
together will be verifying that you put

1477
01:10:44,000 –> 01:10:50,600
a proper amount of liquid or solids Etc

1478
01:10:48,320 –> 01:10:53,199
and at the end of the day it provides

1479
01:10:50,600 –> 01:10:56,199
you a meal restaurant style meal

1480
01:10:53,199 –> 01:10:58,960
beautifully done in and all of this is

1481
01:10:56,199 –> 01:11:01,239
just guided through and and and the

1482
01:10:58,960 –> 01:11:03,000
device may look like everything else but

1483
01:11:01,239 –> 01:11:05,679
the outcome is very different because it

1484
01:11:03,000 –> 01:11:09,320
enables a person has that has a zero

1485
01:11:05,679 –> 01:11:12,560
skills in cooking to create a a very

1486
01:11:09,320 –> 01:11:14,360
decent meal and that’s that’s new that’s

1487
01:11:12,560 –> 01:11:17,440
new but that it’s also double-edged

1488
01:11:14,360 –> 01:11:20,040
sword because if this person doesn’t

1489
01:11:17,440 –> 01:11:23,320
have any skills in cooking immediately

1490
01:11:20,040 –> 01:11:25,840
you are taking away um the opportunity

1491
01:11:23,320 –> 01:11:28,640
for this person to go through pain of

1492
01:11:25,840 –> 01:11:31,080
burning stuff and and learning to cook

1493
01:11:28,640 –> 01:11:33,000
and maybe finding joy in it I don’t know

1494
01:11:31,080 –> 01:11:35,000
what do you think about it uh there are

1495
01:11:33,000 –> 01:11:37,159
some people you just want to eat great

1496
01:11:35,000 –> 01:11:38,880
majority of people like to like to have

1497
01:11:37,159 –> 01:11:42,080
a food and eat and they don’t have a

1498
01:11:38,880 –> 01:11:44,120
time to experiment they don’t want to um

1499
01:11:42,080 –> 01:11:46,960
and uh maybe some do I mean it’s it’s

1500
01:11:44,120 –> 01:11:49,400
always this is this is about us yes some

1501
01:11:46,960 –> 01:11:51,560
people will enjoy uh walking in the

1502
01:11:49,400 –> 01:11:55,440
mountains some people will uh will enjoy

1503
01:11:51,560 –> 01:11:58,120
going to the U Beach and and uh it’s

1504
01:11:55,440 –> 01:12:01,320
just the personal preferences and but we

1505
01:11:58,120 –> 01:12:04,159
all need to eat and we all like to eat

1506
01:12:01,320 –> 01:12:08,320
and um the better the food the more

1507
01:12:04,159 –> 01:12:11,199
enjoyable it is sure but it’s about um

1508
01:12:08,320 –> 01:12:14,639
giving the the chance for the person to

1509
01:12:11,199 –> 01:12:16,639
to fail and and learn they they always

1510
01:12:14,639 –> 01:12:18,840
can learn they always can do it without

1511
01:12:16,639 –> 01:12:20,719
nobody’s pushing them hey you have to

1512
01:12:18,840 –> 01:12:23,040
start using this device or you have to

1513
01:12:20,719 –> 01:12:27,280
start using that device the

1514
01:12:23,040 –> 01:12:32,960
reinvention of the processes where where

1515
01:12:27,280 –> 01:12:35,639
um you can um you can inject more

1516
01:12:32,960 –> 01:12:40,159
Ingenuity or more technology more in

1517
01:12:35,639 –> 01:12:43,280
intellect into the um into the devices

1518
01:12:40,159 –> 01:12:45,880
that you know imagine you you you put a

1519
01:12:43,280 –> 01:12:47,480
cake today you know hey I’m setting up

1520
01:12:45,880 –> 01:12:51,920
at this temperature and this has to go

1521
01:12:47,480 –> 01:12:53,800
for so long but if the oven uh looks at

1522
01:12:51,920 –> 01:12:55,800
this it will adjust temperature as

1523
01:12:53,800 –> 01:12:57,600
needed to make sure that the cake comes

1524
01:12:55,800 –> 01:12:59,719
right every single time you don’t want

1525
01:12:57,600 –> 01:13:01,120
to do it you you want to have you want

1526
01:12:59,719 –> 01:13:04,080
to make sure that at the end of the day

1527
01:13:01,120 –> 01:13:06,480
the result is good yeah it’s

1528
01:13:04,080 –> 01:13:10,920
repeatable yeah I still

1529
01:13:06,480 –> 01:13:14,280
remember the the time I was small H when

1530
01:13:10,920 –> 01:13:17,520
I had the you know this heating thing I

1531
01:13:14,280 –> 01:13:23,040
had um aquarium I had many beautiful

1532
01:13:17,520 –> 01:13:25,159
fish and I had this heater and it was

1533
01:13:23,040 –> 01:13:28,719
just turning on and off it didn’t have

1534
01:13:25,159 –> 01:13:30,159
any intelligence so at one day it I

1535
01:13:28,719 –> 01:13:33,239
don’t know it stopped functioning

1536
01:13:30,159 –> 01:13:36,280
properly and it just boiled all the fish

1537
01:13:33,239 –> 01:13:38,520
um and I wonder you know with a little

1538
01:13:36,280 –> 01:13:41,159
bit of intelligence it would know that

1539
01:13:38,520 –> 01:13:43,199
after reaching certain level at least if

1540
01:13:41,159 –> 01:13:45,840
it doesn’t if it cannot function

1541
01:13:43,199 –> 01:13:48,840
properly it should turn off that’s a

1542
01:13:45,840 –> 01:13:51,000
thermostat um I think it was that was

1543
01:13:48,840 –> 01:13:54,040
the word thank you maybe your thermostat

1544
01:13:51,000 –> 01:13:57,040
broke uh that is always a possibility

1545
01:13:54,040 –> 01:13:58,880
but yeah but you AB right that that when

1546
01:13:57,040 –> 01:14:02,800
you have when you add some level of

1547
01:13:58,880 –> 01:14:06,400
intelligence to the devices um around um

1548
01:14:02,800 –> 01:14:10,920
surrounding us U you will you will get

1549
01:14:06,400 –> 01:14:13,120
much easier input yes um a great example

1550
01:14:10,920 –> 01:14:15,800
is smoke detectors you think it’s like

1551
01:14:13,120 –> 01:14:18,760
who cares for smoke detectors yes and

1552
01:14:15,800 –> 01:14:22,440
and uh years back someone redesigned

1553
01:14:18,760 –> 01:14:25,239
them and um they made them cool the way

1554
01:14:22,440 –> 01:14:27,560
how you open this and instead of um a

1555
01:14:25,239 –> 01:14:29,440
chirping noise that the battery runs out

1556
01:14:27,560 –> 01:14:31,719
and it’s very unfrequent you have no

1557
01:14:29,440 –> 01:14:33,560
idea where it is and and may start in

1558
01:14:31,719 –> 01:14:35,199
the middle of a night now you have a

1559
01:14:33,560 –> 01:14:38,120
message on your phone hey your battery

1560
01:14:35,199 –> 01:14:40,080
runs out in this device in this location

1561
01:14:38,120 –> 01:14:41,520
or the device will tell you through

1562
01:14:40,080 –> 01:14:43,440
through the ERS because they connect to

1563
01:14:41,520 –> 01:14:46,639
say hey I’m running out of a battery and

1564
01:14:43,440 –> 01:14:49,400
I’m located in the kitchen and um this

1565
01:14:46,639 –> 01:14:53,360
makes a a simple thing

1566
01:14:49,400 –> 01:14:55,480
yes I still it makes a huge difference I

1567
01:14:53,360 –> 01:14:57,120
remember when I was a student and then I

1568
01:14:55,480 –> 01:15:01,320
was leaving with you know I was sharing

1569
01:14:57,120 –> 01:15:04,120
a flat with few flat m in London and I

1570
01:15:01,320 –> 01:15:06,280
remember it was always turning on in the

1571
01:15:04,120 –> 01:15:08,560
middle of the night and you just didn’t

1572
01:15:06,280 –> 01:15:10,199
know which one was it yes and you have

1573
01:15:08,560 –> 01:15:12,080
you’re running around and you you have

1574
01:15:10,199 –> 01:15:14,679
no idea and you standing in front of it

1575
01:15:12,080 –> 01:15:16,400
and it’s like simple stuff like this and

1576
01:15:14,679 –> 01:15:19,360
this is this is a good example of

1577
01:15:16,400 –> 01:15:22,600
showing how adding some level of

1578
01:15:19,360 –> 01:15:24,600
intelligence to the existing device the

1579
01:15:22,600 –> 01:15:27,800
function didn’t change it still does the

1580
01:15:24,600 –> 01:15:31,639
same job job it’s just detects the smoke

1581
01:15:27,800 –> 01:15:34,120
but it added the extra layers of of

1582
01:15:31,639 –> 01:15:36,679
functionality that makes a very very

1583
01:15:34,120 –> 01:15:38,639
different impact and that’s the that’s

1584
01:15:36,679 –> 01:15:41,400
the beauty and this is where I see a ton

1585
01:15:38,639 –> 01:15:46,199
of potential with AI that we can look at

1586
01:15:41,400 –> 01:15:48,840
the Everyday Use devices Everyday Use uh

1587
01:15:46,199 –> 01:15:51,000
everyday things that we do that it can

1588
01:15:48,840 –> 01:15:53,880
help us to do this better and that’s

1589
01:15:51,000 –> 01:15:56,840
where we going back with the loop into

1590
01:15:53,880 –> 01:16:00,040
the organizations is why do I need to

1591
01:15:56,840 –> 01:16:03,159
wait several days or someone always

1592
01:16:00,040 –> 01:16:05,560
tells me no um I know this would be

1593
01:16:03,159 –> 01:16:07,480
great to be able to connect this data it

1594
01:16:05,560 –> 01:16:10,360
would be great to give you this report

1595
01:16:07,480 –> 01:16:13,040
but I I don’t have time we so busy with

1596
01:16:10,360 –> 01:16:15,760
this um you know there is a

1597
01:16:13,040 –> 01:16:18,280
joke this one is a good and this really

1598
01:16:15,760 –> 01:16:20,440
explains in my opinion the thinking

1599
01:16:18,280 –> 01:16:22,679
process in the corporations there’s a

1600
01:16:20,440 –> 01:16:25,960
imagine there’s a construction site and

1601
01:16:22,679 –> 01:16:30,159
a manager stands and he sees he’s one of

1602
01:16:25,960 –> 01:16:33,000
the guys uh runs with a weel botle empty

1603
01:16:30,159 –> 01:16:35,120
weel bottle back and forth and he’s

1604
01:16:33,000 –> 01:16:37,639
finally got a little bit irritated and

1605
01:16:35,120 –> 01:16:38,719
said why are you running with the empty

1606
01:16:37,639 –> 01:16:42,560
Weir

1607
01:16:38,719 –> 01:16:44,199
ball back and forth and he said because

1608
01:16:42,560 –> 01:16:46,520
there is so much work there is no time

1609
01:16:44,199 –> 01:16:51,280
to load it

1610
01:16:46,520 –> 01:16:55,440
up good one this is this is how it feels

1611
01:16:51,280 –> 01:16:58,719
today people are so busy with with

1612
01:16:55,440 –> 01:17:00,719
trying to create those

1613
01:16:58,719 –> 01:17:02,679
monstrous

1614
01:17:00,719 –> 01:17:05,159
platforms that they have no time for

1615
01:17:02,679 –> 01:17:07,679
anything in no time for thinking no

1616
01:17:05,159 –> 01:17:10,719
instead of just take a step back why are

1617
01:17:07,679 –> 01:17:14,400
you doing all of this can’t you make

1618
01:17:10,719 –> 01:17:17,800
this much easier and hey I I’ll help you

1619
01:17:14,400 –> 01:17:21,920
connect this and this wow it works this

1620
01:17:17,800 –> 01:17:24,520
is this is the level of change

1621
01:17:21,920 –> 01:17:25,520
that Technologies like yours are

1622
01:17:24,520 –> 01:17:29,639
bringing

1623
01:17:25,520 –> 01:17:31,480
in yes but there are so many people

1624
01:17:29,639 –> 01:17:33,920
involved no one wants to take

1625
01:17:31,480 –> 01:17:36,480
responsibility if something goes wrong

1626
01:17:33,920 –> 01:17:38,320
there is always a risk yes you have

1627
01:17:36,480 –> 01:17:41,120
those early that’s why you have in the

1628
01:17:38,320 –> 01:17:44,560
business early adopters and

1629
01:17:41,120 –> 01:17:46,800
followers um you have to talk to early

1630
01:17:44,560 –> 01:17:48,960
adopters the Early adopters are the ones

1631
01:17:46,800 –> 01:17:50,040
who willing to take risks they willing

1632
01:17:48,960 –> 01:17:53,120
to do

1633
01:17:50,040 –> 01:17:56,040
experimenting and they uh there is a

1634
01:17:53,120 –> 01:17:59,000
reason why they successful and there are

1635
01:17:56,040 –> 01:18:01,000
followers who um see okay this works uh

1636
01:17:59,000 –> 01:18:04,239
I can do that it’s the same thing like

1637
01:18:01,000 –> 01:18:07,080
um with everyday life yes um somebody

1638
01:18:04,239 –> 01:18:09,520
will be the tester and somebody will be

1639
01:18:07,080 –> 01:18:12,040
willing to bury the consequences and

1640
01:18:09,520 –> 01:18:14,719
somebody not other reward for those is

1641
01:18:12,040 –> 01:18:17,120
Lighthouse customers yes the ones that

1642
01:18:14,719 –> 01:18:19,120
the first ones that willing to take risk

1643
01:18:17,120 –> 01:18:22,159
why they taking the risk because they

1644
01:18:19,120 –> 01:18:27,040
see that the potential of benefits is so

1645
01:18:22,159 –> 01:18:29,320
great that it we overpowers the the risk

1646
01:18:27,040 –> 01:18:32,199
levels and again I I believe that the

1647
01:18:29,320 –> 01:18:35,480
risks levels actually pretty low uh with

1648
01:18:32,199 –> 01:18:39,080
this approach because if I’m only

1649
01:18:35,480 –> 01:18:41,840
connecting selective Lego blocks and I’m

1650
01:18:39,080 –> 01:18:43,719
working only on the selective wo blocks

1651
01:18:41,840 –> 01:18:47,600
there is no chance for blackout in a

1652
01:18:43,719 –> 01:18:49,800
company or I say data blackout yeah um

1653
01:18:47,600 –> 01:18:54,480
and if something doesn’t work with one

1654
01:18:49,800 –> 01:18:58,480
block it’s a very small risk rather than

1655
01:18:54,480 –> 01:19:01,360
have the whole uh the whole platform you

1656
01:18:58,480 –> 01:19:03,080
have in your in your um like

1657
01:19:01,360 –> 01:19:06,199
professional career you’ve had lots of

1658
01:19:03,080 –> 01:19:09,239
successes so maybe for you it was just

1659
01:19:06,199 –> 01:19:13,520
easier to jump on the new U opportunity

1660
01:19:09,239 –> 01:19:15,360
and and take a risk but so many people

1661
01:19:13,520 –> 01:19:18,560
even if they feel that there is

1662
01:19:15,360 –> 01:19:23,280
something um to it that they could they

1663
01:19:18,560 –> 01:19:25,960
could raise a new idea or just challenge

1664
01:19:23,280 –> 01:19:28,719
the status quo maybe they have this

1665
01:19:25,960 –> 01:19:30,679
impostor syndrome in a way because they

1666
01:19:28,719 –> 01:19:33,120
feel like they don’t know enough or they

1667
01:19:30,679 –> 01:19:37,840
don’t have um you

1668
01:19:33,120 –> 01:19:41,880
know wealth of of of experience and

1669
01:19:37,840 –> 01:19:44,880
success um behind them and like how do

1670
01:19:41,880 –> 01:19:47,880
you overcome this this is a this is a

1671
01:19:44,880 –> 01:19:51,040
hard question because I um somebody said

1672
01:19:47,880 –> 01:19:52,639
in the past that I don’t have fear um of

1673
01:19:51,040 –> 01:19:55,960
course everybody has certain level of

1674
01:19:52,639 –> 01:19:59,560
fear yes but um I always operate in a

1675
01:19:55,960 –> 01:20:01,159
way um I don’t like to please people I

1676
01:19:59,560 –> 01:20:04,480
like to solve

1677
01:20:01,159 –> 01:20:10,000
problems and even if solving the problem

1678
01:20:04,480 –> 01:20:12,560
May cost me some deterioration on my end

1679
01:20:10,000 –> 01:20:14,480
uh I still would do it because I believe

1680
01:20:12,560 –> 01:20:17,040
those are the right decisions and this

1681
01:20:14,480 –> 01:20:20,600
is how we make progress sometimes it’s

1682
01:20:17,040 –> 01:20:24,199
um um it’s a smooth process if you don’t

1683
01:20:20,600 –> 01:20:26,000
try you’re not going to learn if if you

1684
01:20:24,199 –> 01:20:27,440
have organ gation that they have only

1685
01:20:26,000 –> 01:20:29,719
successes and no

1686
01:20:27,440 –> 01:20:30,679
failures uh that means they don’t try

1687
01:20:29,719 –> 01:20:33,280
hard

1688
01:20:30,679 –> 01:20:35,960
enough uh that means they don’t they go

1689
01:20:33,280 –> 01:20:39,800
on a safe line that means

1690
01:20:35,960 –> 01:20:42,199
they they don’t really understand um

1691
01:20:39,800 –> 01:20:45,280
what is the progress there’s no such

1692
01:20:42,199 –> 01:20:48,840
thing as insurance oh yeah this is going

1693
01:20:45,280 –> 01:20:53,040
to be always perfect no sure you need to

1694
01:20:48,840 –> 01:20:57,480
control the risk um I when I built quite

1695
01:20:53,040 –> 01:20:59,080
few teams and um I really believe in

1696
01:20:57,480 –> 01:21:00,880
empowerment I believe the

1697
01:20:59,080 –> 01:21:04,560
micromanagement is one of the things

1698
01:21:00,880 –> 01:21:08,360
that will it’s it’s it’s killing um

1699
01:21:04,560 –> 01:21:11,520
intelligence it’s killing uh people’s uh

1700
01:21:08,360 –> 01:21:15,080
uh engagement it just it just makes them

1701
01:21:11,520 –> 01:21:20,000
a robots and you truly have to empower

1702
01:21:15,080 –> 01:21:22,080
them and one of the um um I read a book

1703
01:21:20,000 –> 01:21:23,560
don’t remember the title but there was a

1704
01:21:22,080 –> 01:21:25,159
a very good sentence what’s the

1705
01:21:23,560 –> 01:21:27,159
difference between

1706
01:21:25,159 –> 01:21:30,920
uh the great managers and the

1707
01:21:27,159 –> 01:21:34,480
managers um the great managers will make

1708
01:21:30,920 –> 01:21:35,880
the mistake only once it tells you you

1709
01:21:34,480 –> 01:21:39,400
can make a

1710
01:21:35,880 –> 01:21:42,080
mistake but learn from it don’t repeat

1711
01:21:39,400 –> 01:21:46,320
the same mistake so people have to be

1712
01:21:42,080 –> 01:21:49,239
able to make mistakes and um very often

1713
01:21:46,320 –> 01:21:51,960
as a leaders if you have um um people

1714
01:21:49,239 –> 01:21:54,280
reporting to you and they often think

1715
01:21:51,960 –> 01:21:57,040
that the leader has to make decisions

1716
01:21:54,280 –> 01:21:58,679
yes it depends there is a certain level

1717
01:21:57,040 –> 01:22:01,920
of decisions and you have to expect

1718
01:21:58,679 –> 01:22:05,960
those decisions from from your team so

1719
01:22:01,920 –> 01:22:08,280
my way of of of working was um if

1720
01:22:05,960 –> 01:22:11,000
someone came and asked me for a decision

1721
01:22:08,280 –> 01:22:12,760
my first question was I understand you

1722
01:22:11,000 –> 01:22:15,840
just want to know my opinion because you

1723
01:22:12,760 –> 01:22:17,880
will make the decision and why because

1724
01:22:15,840 –> 01:22:20,560
you are much closer to this problem than

1725
01:22:17,880 –> 01:22:23,280
I am so you will make much better

1726
01:22:20,560 –> 01:22:26,840
decision if you have some doubts or you

1727
01:22:23,280 –> 01:22:30,000
want to discuss it perfect I’m here to

1728
01:22:26,840 –> 01:22:32,760
help but don’t ask me to make decision

1729
01:22:30,000 –> 01:22:35,120
for you this is your responsibility and

1730
01:22:32,760 –> 01:22:37,440
I want you to use it uh because that’s

1731
01:22:35,120 –> 01:22:40,639
the only way but what if is wrong I said

1732
01:22:37,440 –> 01:22:43,159
then we all bear the consequences and

1733
01:22:40,639 –> 01:22:46,199
and and that’s how that’s how you have

1734
01:22:43,159 –> 01:22:53,120
to approach it then maybe a different

1735
01:22:46,199 –> 01:22:55,159
analogy I one of my um former bosses um

1736
01:22:53,120 –> 01:22:59,280
uh his name Rich canal he was probably

1737
01:22:55,159 –> 01:23:00,400
one of best boss ever and uh he had a

1738
01:22:59,280 –> 01:23:05,239
very good

1739
01:23:00,400 –> 01:23:07,280
say um when you see analogy said when

1740
01:23:05,239 –> 01:23:09,520
you see a child crawling towards the

1741
01:23:07,280 –> 01:23:11,880
steps and there are maybe two steps

1742
01:23:09,520 –> 01:23:13,760
padded with carpet you probably let them

1743
01:23:11,880 –> 01:23:17,440
figure it out but if you see like a

1744
01:23:13,760 –> 01:23:19,159
flight of 15 Steps down uh you’re going

1745
01:23:17,440 –> 01:23:21,920
to grab their hand and that’s how you

1746
01:23:19,159 –> 01:23:25,000
need to approach the uh the business

1747
01:23:21,920 –> 01:23:27,800
side or when you work with teams

1748
01:23:25,000 –> 01:23:31,280
if you think they going towards a cliff

1749
01:23:27,800 –> 01:23:35,280
um grab their hand and discuss this with

1750
01:23:31,280 –> 01:23:37,560
them but if there is a some uh potential

1751
01:23:35,280 –> 01:23:40,120
trouble and they may get a little bit

1752
01:23:37,560 –> 01:23:42,840
you know uh bruised here and there

1753
01:23:40,120 –> 01:23:45,239
that’s okay um that’s fine but you also

1754
01:23:42,840 –> 01:23:47,719
have to understand this is how you make

1755
01:23:45,239 –> 01:23:50,120
your organization uh stronger and your

1756
01:23:47,719 –> 01:23:54,320
organization truly uh Innovative because

1757
01:23:50,120 –> 01:23:57,960
people are not afraid to try mhm um but

1758
01:23:54,320 –> 01:24:00,560
what what what if like you mentioned the

1759
01:23:57,960 –> 01:24:02,800
the leaders are not so close or like a

1760
01:24:00,560 –> 01:24:05,239
managers are not so close to the problem

1761
01:24:02,800 –> 01:24:09,159
what if they don’t understand the

1762
01:24:05,239 –> 01:24:11,560
the the influence the the scope of

1763
01:24:09,159 –> 01:24:14,320
potential um

1764
01:24:11,560 –> 01:24:17,159
failure um one of the biggest challenges

1765
01:24:14,320 –> 01:24:19,320
in Innovation or introduction of new

1766
01:24:17,159 –> 01:24:22,080
technologies you have to provide you

1767
01:24:19,320 –> 01:24:25,120
have to be able to internally sell this

1768
01:24:22,080 –> 01:24:27,080
the organization um there no such thing

1769
01:24:25,120 –> 01:24:30,679
that people just take things face value

1770
01:24:27,080 –> 01:24:34,960
you have to find the reasons why this

1771
01:24:30,679 –> 01:24:38,600
will help or not you have to be able to

1772
01:24:34,960 –> 01:24:43,719
convey uh this to a a certain degree so

1773
01:24:38,600 –> 01:24:46,199
the the leaders can make a um a decision

1774
01:24:43,719 –> 01:24:50,639
so let’s try let’s let’s make a next

1775
01:24:46,199 –> 01:24:53,560
step and so how apart from you know

1776
01:24:50,639 –> 01:24:55,000
letting people try and and and fail and

1777
01:24:53,560 –> 01:24:57,920
in experiment

1778
01:24:55,000 –> 01:25:01,400
how else do you think um businesses can

1779
01:24:57,920 –> 01:25:05,480
stay competitive try to imagine the

1780
01:25:01,400 –> 01:25:07,920
world in 10 years and try to imagine how

1781
01:25:05,480 –> 01:25:11,760
you would be serving that

1782
01:25:07,920 –> 01:25:15,080
world and then take a step back and say

1783
01:25:11,760 –> 01:25:17,800
okay to get there those are the steps

1784
01:25:15,080 –> 01:25:21,400
that we have to take and we are on a

1785
01:25:17,800 –> 01:25:24,960
step number X and every year we have to

1786
01:25:21,400 –> 01:25:28,159
make a certain upgrades and what’s most

1787
01:25:24,960 –> 01:25:30,880
important is observe the world how it’s

1788
01:25:28,159 –> 01:25:32,719
changing because you may not be lucky to

1789
01:25:30,880 –> 01:25:35,080
predict this properly there will be

1790
01:25:32,719 –> 01:25:37,679
twists and turns and adjust the the road

1791
01:25:35,080 –> 01:25:40,920
and make adjustments don’t be afraid to

1792
01:25:37,679 –> 01:25:42,960
make those changes especially in R&D

1793
01:25:40,920 –> 01:25:44,600
settings often people say oh what’s

1794
01:25:42,960 –> 01:25:47,440
what’s our plan for this year this

1795
01:25:44,600 –> 01:25:51,920
fiscal we’re going to do X Y and Z well

1796
01:25:47,440 –> 01:25:54,480
make sure you revive revise this every

1797
01:25:51,920 –> 01:25:57,880
now and then so you’re not working on

1798
01:25:54,480 –> 01:26:01,040
something that is absolutely not needed

1799
01:25:57,880 –> 01:26:02,760
yes or absolete already absolete it may

1800
01:26:01,040 –> 01:26:05,560
at the beginning of of a year it could

1801
01:26:02,760 –> 01:26:08,040
be a a great thing to do but uh in the

1802
01:26:05,560 –> 01:26:10,440
middle of a year it may be absolete and

1803
01:26:08,040 –> 01:26:13,119
that’s the watching of the technology

1804
01:26:10,440 –> 01:26:15,080
and and and being uh Progressive being

1805
01:26:13,119 –> 01:26:16,920
relevant if you’re not solving a

1806
01:26:15,080 –> 01:26:20,080
customer’s problems or somebody’s

1807
01:26:16,920 –> 01:26:23,239
problems if you’re not helping them you

1808
01:26:20,080 –> 01:26:27,480
becoming irrelevant so your product have

1809
01:26:23,239 –> 01:26:30,360
to solve somebody’s problem the customer

1810
01:26:27,480 –> 01:26:33,679
is not coming and buying your stuff

1811
01:26:30,360 –> 01:26:35,280
because they need they they want it they

1812
01:26:33,679 –> 01:26:37,840
have a problem they need to solve and it

1813
01:26:35,280 –> 01:26:39,719
happens to be that your your products

1814
01:26:37,840 –> 01:26:42,400
are the ones that helping them to do it

1815
01:26:39,719 –> 01:26:47,760
it’s very inspiring and

1816
01:26:42,400 –> 01:26:52,320
very hopeful that you know when people

1817
01:26:47,760 –> 01:26:56,000
are seeing opportunities they they they

1818
01:26:52,320 –> 01:26:58,560
should just go for it and and maybe they

1819
01:26:56,000 –> 01:27:01,320
by listening to to stories of s like

1820
01:26:58,560 –> 01:27:05,960
successful stories maybe it gives them

1821
01:27:01,320 –> 01:27:09,600
more a perspective of how big their

1822
01:27:05,960 –> 01:27:13,920
impact can be but there is this other

1823
01:27:09,600 –> 01:27:17,840
side of the um of the medal which is

1824
01:27:13,920 –> 01:27:21,199
failure and I think and I think you you

1825
01:27:17,840 –> 01:27:26,679
you think that too um failure can teach

1826
01:27:21,199 –> 01:27:29,800
us much more in certain um situations so

1827
01:27:26,679 –> 01:27:33,400
I guess my my ask how do you think about

1828
01:27:29,800 –> 01:27:36,639
failure and was there any particular one

1829
01:27:33,400 –> 01:27:38,400
with which taught you a valuable lesson

1830
01:27:36,639 –> 01:27:41,800
I always approach this from a

1831
01:27:38,400 –> 01:27:45,040
perspective uh failure is not an option

1832
01:27:41,800 –> 01:27:50,760
so if you fail there must be a solution

1833
01:27:45,040 –> 01:27:54,239
to it yes and um I I mentioned early on

1834
01:27:50,760 –> 01:27:57,239
about this uh a big project we had and

1835
01:27:54,239 –> 01:28:00,199
we need to create a software and one of

1836
01:27:57,239 –> 01:28:04,119
the key elements of it there was a a

1837
01:28:00,199 –> 01:28:05,760
different method of of detecting some

1838
01:28:04,119 –> 01:28:08,840
situations in the

1839
01:28:05,760 –> 01:28:10,560
data and we’ve run some tests this was

1840
01:28:08,840 –> 01:28:13,040
great and then software Engineers

1841
01:28:10,560 –> 01:28:16,280
started working on it we are two months

1842
01:28:13,040 –> 01:28:19,400
in the project and Engineers are we we

1843
01:28:16,280 –> 01:28:22,040
testing the code and

1844
01:28:19,400 –> 01:28:25,199
um and I realized the data looks really

1845
01:28:22,040 –> 01:28:26,760
good I was impressed

1846
01:28:25,199 –> 01:28:30,199
and then I started worried I said this

1847
01:28:26,760 –> 01:28:33,480
data looks too good and um and then I

1848
01:28:30,199 –> 01:28:36,159
realized that the engineers without

1849
01:28:33,480 –> 01:28:38,719
telling us have made some changes in the

1850
01:28:36,159 –> 01:28:41,239
code oh no in a Goodwill they thought

1851
01:28:38,719 –> 01:28:44,199
this will be improving and yes the data

1852
01:28:41,239 –> 01:28:47,639
looks very stable but they lost

1853
01:28:44,199 –> 01:28:49,920
sensitivity therefore we stopped seeing

1854
01:28:47,639 –> 01:28:53,000
the problem that we supposed to

1855
01:28:49,920 –> 01:28:55,199
see and the customer’s waiting

1856
01:28:53,000 –> 01:28:57,400
everything’s happening and that was the

1857
01:28:55,199 –> 01:28:59,560
moment when I looked in the mirror and I

1858
01:28:57,400 –> 01:29:02,800
thought myself oh my God this is going

1859
01:28:59,560 –> 01:29:04,960
to be a terrible because the whole

1860
01:29:02,800 –> 01:29:07,639
company was supporting this and building

1861
01:29:04,960 –> 01:29:11,199
machines and there tens of Millions on

1862
01:29:07,639 –> 01:29:13,480
the line and reputation of organization

1863
01:29:11,199 –> 01:29:16,000
and everything this was very very

1864
01:29:13,480 –> 01:29:18,600
challenging yeah we had some uh um

1865
01:29:16,000 –> 01:29:20,960
elevated voices in the discussion in the

1866
01:29:18,600 –> 01:29:23,440
conference room with everybody but then

1867
01:29:20,960 –> 01:29:26,159
I said okay let’s um let’s divide us

1868
01:29:23,440 –> 01:29:30,000
into the three groups groups um let’s

1869
01:29:26,159 –> 01:29:31,840
not stay home think about it at home and

1870
01:29:30,000 –> 01:29:34,760
uh three different Engineers including

1871
01:29:31,840 –> 01:29:36,679
the one that made the changes um and

1872
01:29:34,760 –> 01:29:39,679
let’s meet on Monday couldn’t they just

1873
01:29:36,679 –> 01:29:41,560
roll back to to the previous version no

1874
01:29:39,679 –> 01:29:45,080
this was not about diversion it was

1875
01:29:41,560 –> 01:29:47,480
about think about this was the basics in

1876
01:29:45,080 –> 01:29:49,760
the in the code in the math code the

1877
01:29:47,480 –> 01:29:52,480
solution how you calculate something is

1878
01:29:49,760 –> 01:29:54,360
the basic formula was changed and

1879
01:29:52,480 –> 01:29:56,320
suddenly when you roll back it looks

1880
01:29:54,360 –> 01:29:59,400
like the formula doesn’t work the way

1881
01:29:56,320 –> 01:30:03,920
how you want it so it totally changed

1882
01:29:59,400 –> 01:30:07,080
the the all the premises that we assumed

1883
01:30:03,920 –> 01:30:10,920
did not work so we brainstorm a few more

1884
01:30:07,080 –> 01:30:13,400
ideas how to do it and in three days

1885
01:30:10,920 –> 01:30:15,239
literally we completely changed the

1886
01:30:13,400 –> 01:30:17,440
formula how we’re going to do it and we

1887
01:30:15,239 –> 01:30:19,159
got it back on track and we so from

1888
01:30:17,440 –> 01:30:21,199
customer perspective they did not even

1889
01:30:19,159 –> 01:30:22,920
realize this was this moment the

1890
01:30:21,199 –> 01:30:25,440
leadership of a company did not even

1891
01:30:22,920 –> 01:30:29,280
realize we had such crisis we’ve been

1892
01:30:25,440 –> 01:30:32,159
able to sort it out my boss knew that

1893
01:30:29,280 –> 01:30:34,360
and but he was so calm and this is what

1894
01:30:32,159 –> 01:30:36,760
I really appreciate with him and after

1895
01:30:34,360 –> 01:30:38,520
all this project when everything ended

1896
01:30:36,760 –> 01:30:40,480
I’ve asked him a question I mentioned

1897
01:30:38,520 –> 01:30:43,440
about those stairs because he was always

1898
01:30:40,480 –> 01:30:49,360
using this said hey Rich how many stairs

1899
01:30:43,440 –> 01:30:52,040
did I had and he said um I I think about

1900
01:30:49,360 –> 01:30:54,520
10 and I said and you didn’t grab my

1901
01:30:52,040 –> 01:30:57,679
hand you didn’t stop me he said nobody

1902
01:30:54,520 –> 01:31:01,360
could stop you at that point so that

1903
01:30:57,679 –> 01:31:05,239
also was showing how trustworthy he was

1904
01:31:01,360 –> 01:31:09,880
on a side when you have a a leader who

1905
01:31:05,239 –> 01:31:12,719
enables you to do things he he he

1906
01:31:09,880 –> 01:31:16,880
empowers the organization is and that

1907
01:31:12,719 –> 01:31:20,679
creates a a great success and that’s um

1908
01:31:16,880 –> 01:31:23,440
this is um so so this was a at one point

1909
01:31:20,679 –> 01:31:26,400
it was a significant failure but then um

1910
01:31:23,440 –> 01:31:28,480
it was turn around and and it was turned

1911
01:31:26,400 –> 01:31:30,239
into success but it wasn’t it wasn’t

1912
01:31:28,480 –> 01:31:32,679
easy it was many turning points around

1913
01:31:30,239 –> 01:31:36,239
this project but but I have to say we’ve

1914
01:31:32,679 –> 01:31:39,320
been able to to finish the line amazing

1915
01:31:36,239 –> 01:31:41,880
yeah so you see with perseverance uh you

1916
01:31:39,320 –> 01:31:43,760
you managed to to get where you

1917
01:31:41,880 –> 01:31:47,360
wanted

1918
01:31:43,760 –> 01:31:50,199
okay I guess with anything you are

1919
01:31:47,360 –> 01:31:52,920
working right now it will be a success

1920
01:31:50,199 –> 01:31:57,800
it sounds like uh you you just have a

1921
01:31:52,920 –> 01:32:01,080
set mind to it and you love to uh solve

1922
01:31:57,800 –> 01:32:04,600
problems so where like what’s what’s the

1923
01:32:01,080 –> 01:32:07,199
most exciting problem you are um solving

1924
01:32:04,600 –> 01:32:09,679
right now and where people you know when

1925
01:32:07,199 –> 01:32:12,920
they start uh looking into your work um

1926
01:32:09,679 –> 01:32:16,920
after this episode uh what will they

1927
01:32:12,920 –> 01:32:19,960
find beside uh uh helping anite with uh

1928
01:32:16,920 –> 01:32:23,239
with uh uh with the business side or

1929
01:32:19,960 –> 01:32:27,159
strategy on uh data connect uh data

1930
01:32:23,239 –> 01:32:29,440
topics and Silo connections um I’m

1931
01:32:27,159 –> 01:32:32,080
focusing on the manufacturing this was

1932
01:32:29,440 –> 01:32:35,360
uh very good for me that I had about two

1933
01:32:32,080 –> 01:32:38,440
years u a break from manufacturing world

1934
01:32:35,360 –> 01:32:41,040
so I did my entire career my study my

1935
01:32:38,440 –> 01:32:42,880
startup my corporate world and then I

1936
01:32:41,040 –> 01:32:44,440
had a two years break when I moved to a

1937
01:32:42,880 –> 01:32:46,320
different corporation that was

1938
01:32:44,440 –> 01:32:51,840
completely different business completely

1939
01:32:46,320 –> 01:32:54,360
different problems and um when I

1940
01:32:51,840 –> 01:32:56,000
finished this I I started asking myself

1941
01:32:54,360 –> 01:32:59,960
okay what I want to do what really makes

1942
01:32:56,000 –> 01:33:03,000
me happy and um I I like the engineering

1943
01:32:59,960 –> 01:33:07,800
side I like the R&D side the of the

1944
01:33:03,000 –> 01:33:11,320
manufacturing um and I started asking

1945
01:33:07,800 –> 01:33:14,480
myself why we are still so unefficient

1946
01:33:11,320 –> 01:33:17,679
in all this process you have computers

1947
01:33:14,480 –> 01:33:21,199
you have more and more software and we

1948
01:33:17,679 –> 01:33:24,560
still can’t break the ceiling it’s still

1949
01:33:21,199 –> 01:33:26,800
the same story Parts this design the

1950
01:33:24,560 –> 01:33:28,880
machine makes them there are problems

1951
01:33:26,800 –> 01:33:30,520
you have to correct them and it’s a long

1952
01:33:28,880 –> 01:33:32,199
Loop and you need skills which are

1953
01:33:30,520 –> 01:33:34,280
missing those days more and more people

1954
01:33:32,199 –> 01:33:37,119
retiring with those skills you can’t

1955
01:33:34,280 –> 01:33:41,960
really you can’t really solve it so I

1956
01:33:37,119 –> 01:33:44,400
really um came up with a new method for

1957
01:33:41,960 –> 01:33:48,159
uh closing the loop right on the CNC

1958
01:33:44,400 –> 01:33:49,159
machine and uh at first I thought okay

1959
01:33:48,159 –> 01:33:50,840
this is not going to work this is going

1960
01:33:49,159 –> 01:33:54,239
to be crazy so I started poking around

1961
01:33:50,840 –> 01:33:55,600
and I started looking asking some of a

1962
01:33:54,239 –> 01:33:58,119
trusty

1963
01:33:55,600 –> 01:34:00,480
resources can you take a look at this is

1964
01:33:58,119 –> 01:34:03,840
this really am I delusional is this

1965
01:34:00,480 –> 01:34:05,280
going to work and um they said no I

1966
01:34:03,840 –> 01:34:07,760
think you may be on

1967
01:34:05,280 –> 01:34:10,000
something so I file file a patent

1968
01:34:07,760 –> 01:34:12,639
applications and I started working with

1969
01:34:10,000 –> 01:34:16,960
government agencies uh and I had already

1970
01:34:12,639 –> 01:34:19,719
number of meetings and um same uh same

1971
01:34:16,960 –> 01:34:22,480
question do you believe it’s novel and

1972
01:34:19,719 –> 01:34:24,080
the answer was I do believe it’s novel

1973
01:34:22,480 –> 01:34:27,000
and they very interested to to work

1974
01:34:24,080 –> 01:34:30,920
together so in the process of of of

1975
01:34:27,000 –> 01:34:33,719
getting um to um a next stage um to have

1976
01:34:30,920 –> 01:34:37,040
a support actually have tomorrow um a

1977
01:34:33,719 –> 01:34:39,960
call with a first potential customer who

1978
01:34:37,040 –> 01:34:42,159
again the story comes back marcine has

1979
01:34:39,960 –> 01:34:44,840
ability to sell things that don’t exist

1980
01:34:42,159 –> 01:34:47,119
yet but I do know what it’s going to be

1981
01:34:44,840 –> 01:34:50,480
and how it is and and if you have a big

1982
01:34:47,119 –> 01:34:53,040
enough problem and you have a um

1983
01:34:50,480 –> 01:34:56,239
potential Risk Takers they are willing

1984
01:34:53,040 –> 01:35:00,159
to to take a look into this so so I’m

1985
01:34:56,239 –> 01:35:02,400
propelled by by this motion that I truly

1986
01:35:00,159 –> 01:35:05,239
believe this will completely change how

1987
01:35:02,400 –> 01:35:07,960
the manufacturing works so it will

1988
01:35:05,239 –> 01:35:11,520
change the way uh you won’t need those

1989
01:35:07,960 –> 01:35:14,719
super high-end mechanical systems to be

1990
01:35:11,520 –> 01:35:17,480
able to create uh highly accurate Parts

1991
01:35:14,719 –> 01:35:20,520
you will be able to achieve this with um

1992
01:35:17,480 –> 01:35:22,199
with less uh sophisticated systems and

1993
01:35:20,520 –> 01:35:24,119
you will be able to upgrade actually

1994
01:35:22,199 –> 01:35:26,440
existing Technologies to make them

1995
01:35:24,119 –> 01:35:28,840
better and that was done in the past a

1996
01:35:26,440 –> 01:35:33,080
good example is digital skilles you

1997
01:35:28,840 –> 01:35:35,440
would take Old Mills um or Lads and you

1998
01:35:33,080 –> 01:35:38,360
would add a digital skills as a feedback

1999
01:35:35,440 –> 01:35:41,280
and suddenly the very old machine became

2000
01:35:38,360 –> 01:35:43,840
much better uh system and more accurate

2001
01:35:41,280 –> 01:35:46,280
so do this have happened in the

2002
01:35:43,840 –> 01:35:49,320
past so yeah that’s pretty

2003
01:35:46,280 –> 01:35:51,480
exciting Yes sounds like and I would

2004
01:35:49,320 –> 01:35:56,159
wish you luck but I think you don’t need

2005
01:35:51,480 –> 01:35:59,280
it because what you you you feel like

2006
01:35:56,159 –> 01:36:04,040
the way you describe the way you talk

2007
01:35:59,280 –> 01:36:07,239
about it is and also the the experience

2008
01:36:04,040 –> 01:36:12,800
you have which is behind all this uh

2009
01:36:07,239 –> 01:36:15,159
shows that this has to um it has to work

2010
01:36:12,800 –> 01:36:19,280
uh because it has lots of potential and

2011
01:36:15,159 –> 01:36:21,840
it has you uh person who believes in it

2012
01:36:19,280 –> 01:36:24,600
and you will find the way if it’s if

2013
01:36:21,840 –> 01:36:27,280
it’s not left or if it’s not this this

2014
01:36:24,600 –> 01:36:30,880
this angle you will find you will find a

2015
01:36:27,280 –> 01:36:32,880
way to make it work so I I really uh

2016
01:36:30,880 –> 01:36:36,679
keep my fingers cross for you but I

2017
01:36:32,880 –> 01:36:39,920
think you will do just as good without

2018
01:36:36,679 –> 01:36:42,239
any lack wishing uh everyone needs some

2019
01:36:39,920 –> 01:36:44,800
level of like but you really need um a

2020
01:36:42,239 –> 01:36:47,199
teams you need the right people um you

2021
01:36:44,800 –> 01:36:50,199
need a collaboration with groups nobody

2022
01:36:47,199 –> 01:36:52,159
ever does anything by themselves so

2023
01:36:50,199 –> 01:36:55,840
that’s the part that it’s always

2024
01:36:52,159 –> 01:36:59,000
critical and um so far um uh in this new

2025
01:36:55,840 –> 01:37:01,600
project I’m stepping across the the

2026
01:36:59,000 –> 01:37:04,119
right uh organizations and the right

2027
01:37:01,600 –> 01:37:06,639
people and they’re getting excited so um

2028
01:37:04,119 –> 01:37:08,040
we’ll see where it gets us that’s what

2029
01:37:06,639 –> 01:37:12,960
you need you just need to create

2030
01:37:08,040 –> 01:37:14,840
momentum and off you go Martin I am very

2031
01:37:12,960 –> 01:37:18,840
very happy not only for this

2032
01:37:14,840 –> 01:37:22,040
conversation but mainly for the fact

2033
01:37:18,840 –> 01:37:25,440
that we’ve met that we’ve met personally

2034
01:37:22,040 –> 01:37:28,760
as well and uh I get to work with you

2035
01:37:25,440 –> 01:37:31,159
because um I learn so much uh from you

2036
01:37:28,760 –> 01:37:33,960
and I’m sure those who will listen to

2037
01:37:31,159 –> 01:37:36,920
this episode uh will will’ll get

2038
01:37:33,960 –> 01:37:40,360
inspired and we’ll want to implement

2039
01:37:36,920 –> 01:37:42,960
some of those um methodologies and and

2040
01:37:40,360 –> 01:37:45,159
the ways how you um perceive and

2041
01:37:42,960 –> 01:37:48,320
approach

2042
01:37:45,159 –> 01:37:51,599
problems and yeah I I am very very

2043
01:37:48,320 –> 01:37:55,000
thankful so thank you I appreciate

2044
01:37:51,599 –> 01:37:59,599
Camila I it’s a it’s a quite a journey I

2045
01:37:55,000 –> 01:38:03,159
um I have to say I I really enjoy the uh

2046
01:37:59,599 –> 01:38:06,440
the new adventures or or challenges um

2047
01:38:03,159 –> 01:38:09,320
and always pushes me to think things to

2048
01:38:06,440 –> 01:38:11,880
think think about stuff differently uh

2049
01:38:09,320 –> 01:38:13,760
from different angle and um what I’ve

2050
01:38:11,880 –> 01:38:16,920
learned in one field I can apply in

2051
01:38:13,760 –> 01:38:19,880
another field and that has a lot of

2052
01:38:16,920 –> 01:38:21,040
positive consequences so uh but yeah

2053
01:38:19,880 –> 01:38:25,679
it’s

2054
01:38:21,040 –> 01:38:27,639
um again I’m looking for for for more uh

2055
01:38:25,679 –> 01:38:30,639
collaboration and for more of the our

2056
01:38:27,639 –> 01:38:34,080
successes our successes and and I’m

2057
01:38:30,639 –> 01:38:36,960
pretty sure that um it’s just a matter

2058
01:38:34,080 –> 01:38:40,520
of time when uh people start realizing

2059
01:38:36,960 –> 01:38:44,239
don’t work hard work smart and that’s

2060
01:38:40,520 –> 01:38:45,880
how I see what you doing in the digital

2061
01:38:44,239 –> 01:38:46,800
world and that’s how I see you what you

2062
01:38:45,880 –> 01:38:49,000
are

2063
01:38:46,800 –> 01:38:52,679
doing thank you

2064
01:38:49,000 –> 01:38:52,679
appreciate thank you