#111 - Interview mit Prof. Dr. Kathrin Kind - AI, Quantum Computing & the Future of Humanity

00:00:05: Capricorn connect people potential technology.

00:00:16: Professor Dr.

00:00:17: Katrin Kind is a pioneering technologist and C-suite executive

00:00:22: operating at the intersection of

00:00:24: quantum computing, artificial intelligence and industrial scale engineering.

00:00:30: We will talk in our latest podcast episode

00:00:33: about

00:00:33: Quantum Computing And what impact

00:00:36: will AI have

00:00:38: on us?

00:00:39: Professor Dr.

00:00:41: Katrin Kinn, thank you so much for joining us in the podcast!

00:00:45: How are you today?

00:00:47: Yes Thank You So Much For The Invitation.

00:00:49: I'm actually excited to be here and also have a chance To Have A Discussion With You Because The Topic Also Of Finding What Would Be New interesting career paths is also dear to me, particularly as a mentor for the younger generation.

00:01:05: Yeah absolutely I'm really excited.

00:01:08: get your insights because you are at the forefront of quantum computing and new revolution AI technology in this intersection.

00:01:20: so i would like start conversation by asking what kind impact will AI have on us?

00:01:28: If you look at what it's already happening since democratization of AI, OpenAI made it cool for everybody.

00:01:37: And before that has existed over the years and early in the nineteen fifties.

00:01:41: but they only difference was back then we didn't have computing performance than now.

00:01:47: so thats the only difference.

00:01:48: We also did not have ability or technology to show through graphics, videos capability math back then, or there were some already early concepts.

00:02:02: So even when I started back in the nineties and my early career um i started surfing the internet with what people don't ever maybe have heard of.

00:02:11: this was called mosaic And Back.

00:02:14: Then it Was a big deal because we Were able to bring graphics and sound and videos To web pages which before It was just text Nobody remembers that Because they didn't hear That and then kept Netscape, which got completely eaten by AOL.

00:02:30: And then Internet Explorer through Microsoft and the rest is history.

00:02:35: I'm bringing this to answer your question as an analogy of what's happening with AI.

00:02:40: So once OpenAI created a very easy platform for everybody To be able them have access and see their capabilities Everybody started using their imagination.

00:02:55: It was incredible about the immense possibilities of use cases.

00:03:01: Then they started using and implementing it, we even saw Microsoft itself jump into the table and also built in there.

00:03:08: that gave us such a tremendous bet on bringing inside calling it co-pilot.

00:03:14: but is of course then the chat GPT?

00:03:17: what's behind certain guide rails when off course an industrialization guidance for Microsoft regulations?

00:03:23: nevertheless people were able to see.

00:03:26: well Now I can do something by myself.

00:03:53: So the situation is not what will happen to us, it's already happening now.

00:03:59: We see that change with every single industrial revolution and when new technology comes that automates repetitive tasks a lot of jobs get displaced.

00:04:10: With the first industrial revolution we saw people losing their jobs.

00:04:14: then electricity came same story as well.

00:04:18: Then cars came and there were less horses.

00:04:21: And back then there were even people thinking, well a car will never ever become something that everybody would use.

00:04:29: I'm talking late nineteenth century and imagine right now.

00:04:33: So what we see with AI is the same principle The fourth industrial revolution in that A lot of repetitive jobs are being displaced.

00:04:42: It's also big opportunity because We're not made to do what would be typical tasks, routine tasks all the time.

00:04:55: Sometime some portion of our day yes and it gives you security.

00:04:59: or we feel good but for advancing who we are... For us with our own development even let's say after we finish a job in we claim to retire.

00:05:11: now with AI Anybody can see a problem in their community or a problem for themselves, our society and use AI to solve it.

00:05:21: And yes there's going be what would already be discussions that say forty percent of the people are gonna be displaced through AI.

00:05:32: I've seen myself with a lot of youngsters having trouble issues finding jobs where i'm also a guest professor Because a lot of what was before the task for typical data engineer, or particular coder.

00:05:51: And I say Data Engineer Coder and not Computer Scientist Or Software Engineer Those are now being taken by AI.

00:06:02: There is another extreme that someone says in USA That AI will completely displays all jobs that we will be needing and universal basic income, which that's too extreme.

00:06:16: Which I very much disagree.

00:06:18: Yes a big portion Will be gone And it is already being displaced.

00:06:22: But what We can do from here?

00:06:24: You see okay well The person who had A coach and horses That person has to learn or his children have to learn To drive the car.

00:06:36: So its exactly What we Can Do now.

00:06:39: In the NITIS and in the OOs, people had to learn how to use their computer.

00:06:44: Whoever didn't have those particular pieces' skills was displaced on a job market.

00:06:50: so that is your chance.

00:06:53: everybody now can learn for free which is huge opportunity.

00:06:57: I think it's fantastic.

00:07:00: even people who are coming from what would be a humble level of society has access to immense amount of information, a new type of career.

00:07:12: And that's why I tell my students the typical job roles they're going to be moved out and new work is coming.

00:07:21: so they say well i love data.

00:07:23: yes myself call myself a data math scientist.

00:07:27: what I told them was that The Job role for example in future it will not become Data Engineer It'll go into Data Pruner meaning person deleting the data out of models.

00:07:40: because there's that wrong idea that models are like cakes, you know in That once we put the eggs when you put this sugar.

00:07:46: You cannot extract it back.

00:07:48: It's not a case with AI models and With data becoming proprietary which data become IP or for also security reasons.

00:07:58: Also Data needs to be taken out of Models.

00:08:01: so data printing is what is necessary?

00:08:05: And The same thing way AI is that you have around hundreds of thousands of different mathematical algorithms and AI has nothing without the data.

00:08:18: If, if your look at chat GPT to go back to it its core algorithm is seventy kilobytes so I can put in a readme file using dot text.

00:08:27: but what really makes it powerful?

00:08:30: petabytes of data was used to be trained and also the other training models that are given context, they're creating what would be a particular task.

00:08:40: So there's an agentic or multi-mathematics on their creation of pictures or videos which had been connected with it.

00:08:49: so this is the ecosystem behind but the core mathematics is really small.

00:08:58: we still need the people to create a data.

00:09:01: I mean, STATA needs to be organic for AI to evolve and to be able to be validated... ...to keep the quality that it has And if not, It would fail which is what we call model collapse.

00:09:15: So when people learn that That's why i tell them Please youngsters or anyone actually learn mathematics near material engineering We don't have all the semiconductors that we need for future.

00:09:27: We don't have to resolve all data management and particular architectures, also please study what would be philosophy?

00:09:38: Why philosophy?

00:09:40: Because one particular type of intelligence AI will never have!

00:09:46: And I can tell any big modigal...we could chat about it even if they claim AGI already exists versus the definition of intelligence.

00:10:00: And there's not just one, it is not just cognitive intelligence that allows us to have mathematical logical skills and also memorial intelligence.

00:10:10: those two as humans we share with computers even artificial intelligence physical intelligence robotics.

00:10:18: then comes emotional intelligence.

00:10:21: that yes, there are some advances.

00:10:23: Being in research on claiming it could be possible but I still say is your simply a data pattern learning and not true emotional intelligence because That also involves human instinct which is based on our own chemicals hormones And millions of years of evolution Which i very much challenge anyone To really prove that to me.

00:10:46: But Yes There's the appearance off And then there is metacognition.

00:10:51: What I mean by that?

00:10:53: That's the ability we have as humans to fantasize, meditate using our imagination when we close eyes and create something completely new!

00:11:06: Some human have proven through their geniuses like Van Gogh, Bach or Mozart created from nothing something beautiful, incredible.

00:11:18: And that is an intelligence only humans have.

00:11:22: So, that metacognition cannot be trained into artificial intelligence because it doesn't have that particular ability and even today we do not understand a hundred percent.

00:11:35: how are particulars subconscious?

00:11:38: The entire instinct as well as metac cognition level exists.

00:11:44: so a philosopher And I also was going to expand it to psychologists,

00:11:49: etc.,

00:11:50: humanists.

00:11:52: Are able then to bring those new perspectives as what is let's say would be the ethical ways and by ethical way I mean Human Rights Charter from the UN?

00:12:07: Yeah...I know there are different types of ethics.

00:12:11: but important thing when we see a risk through AI That data gets put in place, not just as regulation but built into that particular technology.

00:12:22: When there is a need for evolution and also what would be the new structures we will need it's not just technology.

00:12:31: It has societal change, educational changes, governmental changes And of course cultural changes the western world that we live in.

00:12:44: We're privileged to be online, but they are still over good I'd say one-eighteenth of the planet – it's offline and for them yeah...we need to figure out a way or they can figure right away how to bring them into this digital world so that they don't get left behind.

00:13:03: Katrin also wants you talk about these positive outcomes on new technology opportunities.

00:13:09: So what is opportunities, let's say I have to prepare myself uh...to get fit for the job market or just stay relevant in this new world.

00:13:21: So what do you suggest?

00:13:21: What are your recommendations for people?

00:13:24: Uh..what does they have to learn or

00:13:26: train?".

00:13:28: You said empathy is still important.

00:13:32: dealing with people maybe can elaborate a little bit more on that.

00:13:37: Yes and then At the World Economic Forum, I'm also part of CoreMember.

00:13:42: It's a global future council for data foundation.

00:13:46: We made particular study about skills after twenty thirty and yes The basic ones are particularly logical thinking And it is incredible About amount time we no longer spent writing or doing maths by hand That one very important skill.

00:14:06: And that is, let's say the areas those typical logical critical thinking emotional.

00:14:13: what would be then intelligence and collaboration structures.

00:14:18: And creating a culture of growth.

00:14:21: That means if we were able to build What?

00:14:23: We've done through our competitive environment all The way to the late century.

00:14:28: We will only be able To survive and transform ourselves If we learn instead Of having a competition support each other in order to bring new type of what would be, let's say work structure or societal structures.

00:14:44: What I mean by that?

00:14:46: That whenever I cultivate it for example at empathy and help create a human-centric AI that can help the elderly where they could help someone who feels isolated without worrying okay the AI is going to create something negative from me which we've seen such cases.

00:15:05: That means that person ensures and proves the logic, proves this structure.

00:15:11: And what we call exploratory testing out of one in the systems engineering type we've seen it.

00:15:16: they use their type of M plus m human type cases to push the AI towards limits if there might be issues with it on how they can be validated and corrected.

00:15:30: or To say yes In these particular use cases it is, let's say working as its meant.

00:15:37: So they intend the function that's fulfilled.

00:15:40: so when someone has precisely those capabilities yes a critical thinking philosophical thinking mathematical ability writing skills As well as verbal expression and we don't Let AI make us number.

00:15:56: I see with myself That i use too much The grammar correction work And sometimes stop to think Do I put a comma here in German or English?

00:16:04: And, and...I stopped thinking.

00:16:07: No!

00:16:07: I have to go back to knowing punctuation.

00:16:13: Cannot delegate

00:16:14: it Back-to-basics.

00:16:16: But isn't there danger?

00:16:17: because seems like people nowadays they forget how to read that nobody reads books anymore.

00:16:22: So what does do with human being if you don´t read any more and actively work with texts for example?

00:16:32: What do you think about it?

00:16:35: I wanted to tell you later on, but there's two gentlemen in the United States that made what is a cognition analysis research.

00:16:44: About the positives of brain development for children and adults if they continue reading or writing by hands And one best still methodology for ensuring our brains develop or that it prevents Alzheimer's.

00:17:03: So the thing that happens is very simple, atrophy.

00:17:08: What does that mean again?

00:17:09: Atrophy?

00:17:10: Atrophy means your brain loses their ability to create neural connections.

00:17:16: Our brains are computers a biochemical computer.

00:17:20: so whenever you lose what would be our connection?

00:17:24: which happens when we do something?

00:17:26: if want let us say build new connection.

00:17:29: do two things that are uncategorized to be the same.

00:17:34: For example, go jogging and learn a language so you're using two different sections of your brain.

00:17:41: So by doing that what happens is then can we see on the microscope those particular neurons start trying to find each other And it creates a path and that path gets sequenced by different what would be electrical pulses, it creates the section.

00:17:59: That means at beginning is very difficult which is good if you feel strange or maybe having a headache.

00:18:07: some people do.

00:18:08: You can do this extreme in the begining but its too new.

00:18:11: It's good because showing those areas of your brain are forming these new connection paths.

00:18:19: it helps create new neural connections, but also new neurons.

00:18:24: And so that can be replaced.

00:18:25: if everybody drinks alcohol or maybe they did some stuff in their group there is still hope.

00:18:34: But the point here regarding children who have not had those problems yet They really have a chance to develop different type of intelligences.

00:18:48: So, what would be the cognitive aspect of it?

00:18:52: Emotional intelligence can only develop through social interaction.

00:18:56: There are some theoretical parts one could learn but that has to do with human connection.

00:19:02: But in a cognitive path once that stops let's say makes things that shouldn't have been difficult for us As I mentioned the example with punctuation.

00:19:15: Before, i knew all rules of punctuation in English very well and now confused them with German.

00:19:22: And that's one thing where you have to go back and re-read them.

00:19:25: either use AI or give me a cheat sheet.

00:19:31: You get lazy also after awhile.

00:19:35: That is it can become dangerous.

00:19:39: I developed autonomous driving functions, my twenty-three years of careers in automotive and i helped create what would be the ACC stop & go back into thousand on force.

00:19:51: Before anybody knew when an AI agent was.

00:19:54: before everybody knew where a data scientist was.

00:19:56: so I was sitting at the car training it with laptop showing you to understand what is conventional traffic laws?

00:20:04: What's right distance etc... And one thing Once it became, let's say validated for the street and I was driving still at BMW.

00:20:19: But at some point in time, I forgot that...I have to brake.

00:20:25: And some lady passed really fast with me on her bike and thought the car was going to stop but I forgot it was on!

00:20:33: Then as soon as I fell down my car immediately went and put my leg under braking.

00:20:43: That's when i realized how dangerous getting used is.

00:20:49: And that's why even I have a car and it has automatic park control, I park manually.

00:20:54: So would you recommend getting a little bit off social media?

00:20:57: And all those tools... Yes!

00:20:59: ...and then get back to reading again?

00:21:01: Is there something for them...?

00:21:02: I'm back doing everything like i said drive your cars manually as possible.

00:21:08: go really try do an offline day My daughter's school, and I find this fantastic.

00:21:16: They even go as far offline week which is impossible but we do have a day that were completely off-line in the weekend And with sit down as a family We played games Yeah?

00:21:29: We cook together The other day before.

00:21:32: so on the Fridays is we cook all together.

00:21:34: yeah Marvel phones of.

00:21:36: I grab them now put them away and they get back again on a Sunday, yeah?

00:21:42: And then in the Saturday we also read together.

00:21:45: We sing and take our dog for walk around the corner... ...and be conscious to be together because I saw some of our holiday pictures….

00:21:59: …and all three were watching our phone!

00:22:02: That was taken by friend of ours that was with us.. ..and i find it horrible.

00:22:07: the time that they should be together we're giving it to a phone.

00:22:13: Yeah, distraction.

00:22:15: Katrin quantum computing is such a fancy word.

00:22:19: what does this actually mean?

00:22:22: It means using what would be quantum mechanics and all our properties then being able to produce a mathematical digital result From those.

00:22:36: that's good.

00:22:37: That you bring it up.

00:22:38: I'll just like to shortly explain what they are.

00:22:40: There is there several architectures, and I'd like to put them into two categories.

00:22:45: cryogenic The main core of the architecture needs to be at almost absolute zero and can be used using superconductors, so that properties of subconductor metals or photonics based.

00:23:00: And room temperature which are more sustainable is one I research and develop my university as a company.

00:23:10: those come into what I call also different flavors.

00:23:13: Yeah, so of course it's also superconducting.

00:23:15: there are of course photonic which is the one that we're looking at very carefully.

00:23:21: There's also what would be then semen space and also heart envy diamond And all these fancy words or nothing else but The different types.

00:23:30: you can have a room temperature.

00:23:33: If You look conventional computers for Neyman computers Architecture was created in nineteen forty-five.

00:23:40: That means we're still using computers that are now old, and quantum computing technology was let's say created very recently in comparison.

00:23:50: so there were some of course quantum mechanics theories in the sixties seventies And the eighties was the first time a first architecture came out to be.

00:24:00: The way it works is A computer has either electricity or not.

00:24:06: So I have a bit or not, but both those states can be read as a bit of data.

00:24:13: And at quantum computer what it does is that you give an electrical stimuli to what would the electron in metal and it can contain both.

00:24:26: so what happens is that they're having all states at the same time.

00:24:30: So instead of just being zero and one, there's zero ones at a same time which we call superposition.

00:24:38: entanglement means that they are brought in together and packed through also what it calls mathematical probability or determinism but Last measurement check.

00:24:57: So what happens?

00:25:00: And one very important thing, even though they're there They can only solve certain problems that I still cannot create.

00:25:06: a YouTube Yeah like you just so kind of watch films and quiet on computers.

00:25:11: They are Just for certain use cases Like cyber security For example.

00:25:17: chemical simulations yeah or simulations that require tremendous amount of data, complex data and need a result very fast.

00:25:27: So they're very performant.

00:25:29: nevertheless They have.

00:25:31: the problem is still not reliable.

00:25:35: That means depending on the type of algorithm that you're using with them, sometimes they can be having as much as forty percent of their time errors for certain algorithms.

00:25:47: And let's say in cryogenic and in photonic room temperature it could be thirty percent which is still a big number but its much less because you get rid off the cryogenic complexity out of equation.

00:26:04: But what you can do is that on the paths, where it's working right?

00:26:09: You still need to have high performance computers.

00:26:13: So GPUs and TPUS are measuring them.

00:26:17: They're also having their architecture.

00:26:21: so they have a virtual architecture And create simulation of a quantum computer.

00:26:25: So it's not quite a computer's quantum inspired, and its like.

00:26:28: it is stitched between to check if you give it one plus one equals two or zero point.

00:26:35: nine zero plus zero.

00:26:36: zero one equals really also two.

00:26:40: Sorry!

00:26:40: Equals One And then You know It's working right.

00:26:44: but If there are some type of noise so A problem an error, then that area of the measurement or that particular equation you cannot trust.

00:26:54: So the way they work together is it allows us to solve problems before we're impossible because the current phenomenon computer can't do this and most computers are usually at universities.

00:27:13: here in Zurich there's one built-in Basel And the size of them, the maximum size so far has been proven to be stable in which you can also run an AI algorithm with almost ninety-seven point eight percent.

00:27:30: What would it mean then?

00:27:31: accuracy?

00:27:31: That means a quality execution measure was that but still doesn't mean reliable.

00:27:38: You for that need I recall Which means that you give it this same question all the time and gives you the same answers.

00:27:46: That's the recall metric that we're still trying to prove.

00:27:49: It's still up to a hundred qubits, which is around ten thousand of factor in speed to conventional TPU.

00:27:59: So it's technology that is evolving very fast through right now The rise off AI and high-performance computing.

00:28:10: so when we combine them both Right Now what We see are new type of use cases that we can do.

00:28:16: Particularly, let's say the development of new drugs or what I call personalized medicines.

00:28:26: That means... ...I could create an algorithm that sequences your DNA The DNA of a bug Or virus As well as what would be different doses In those chemical models which are not AI models, they're a really different formulae and simulated as being prescripted to your DNA.

00:28:46: And then I can give M plus M possibilities two almost infinite yeah?

00:28:52: Which would take hundred million years to test on your DNA... ...and fine within an hour.

00:28:59: if that was anything that will give you adverse effects what we for it would take ten years of what would be intensive research.

00:29:09: So that is one of the advantages,

00:29:11: yeah?

00:29:11: Huge transformation in fields such as medtech or health or longevity finance.

00:29:18: so it impacts all industries similar to AI.

00:29:23: Katrin I want you transition also a little bit or move back to AI.

00:29:27: The question how we get impacted.

00:29:29: How will people You know how?

00:29:32: sometimes we have a hard time dealing with change.

00:29:35: Sometimes in various areas of our lives, but how will people handle this huge shift?

00:29:42: Before I get there just my small little letters on virus.

00:29:47: beware when computing that it would reach the point.

00:29:51: and twenty-nine is for example what some companies are saying.

00:29:55: they'll do rich while it's the next singularity.

00:29:58: And then a lot of what is the current cybersecurity algorithms and models will be able to be hacked, which could... Which is at high risk for the financial industry.

00:30:09: So cybercrime?

00:30:10: Yes,

00:30:11: it's going to- It'll be big profit.

00:30:12: Whenever they would get that technology in their hands.

00:30:15: so past twenty thirty.

00:30:17: this why its important want make awareness companies create what is called a post-quantum pictography strategy now and prepare themselves for what happened after twenty thirty, which has just four years from now.

00:30:31: And it affects all the types of sizes of companies?

00:30:34: Yes!

00:30:36: Then I want to change into your question because... It's so difficult to change.

00:30:41: And when people say, oh well do I have to make everything quantum or with AI we have to change everything and i said no it becomes hybrid yeah.

00:30:50: There's a lot of companies also working on giving that and democratizing it.

00:30:57: same as for AI It can be accessed over the cloud.

00:31:00: The Chinese even made it free With their own platform.

00:31:06: Companies what they first need is come back want to understand through all the changes, all the socio-political economical changes that we're seeing right now how they need to reinvent themselves and The bigger the company.

00:31:22: That's a bigger than change problems And I worked for the biggest elephants in the German industry very traditional Very male dominated with very classic hierarchical structures.

00:31:35: and Change could only happen if there were four factors.

00:31:39: It doesn't matter how excellent the technology we have.

00:31:42: How much money do you need to invest in startups and talent?

00:31:46: Number one, if management does not become literate about a new technology and they impact on their business model also when it impacts what people are doing let's say The newer organization that they need nothing moves Absolutely nothing.

00:32:08: And by that management I mean either beat the board or what would be direct top C level, D-level...

00:32:20: So tech know how at a board level and in top management?

00:32:23: Yeah

00:32:23: so with AI any C-level when i also talk to other fellow C-Level people.

00:32:31: you have to learn AI.

00:32:33: it's just like before.

00:32:36: It's become the new pieces kills.

00:32:39: Second, you have to create what would be that training?

00:32:44: and also third put a change management structures.

00:32:47: internally.

00:32:48: You do have two whole hands with your employees because not everybody is going to accept it.

00:32:53: A lot of people are afraid of it And they're gonna want one too but don't even know where should I start Which comes from?

00:33:01: fourth point The training but also role changes directly map to the business case and then they would be able to make that change.

00:33:10: So, that's also the leadership of the future.

00:33:13: so get the tech know this new technology yeah And then communicate it to their relevant decision-maker.

00:33:20: but also give people the opportunity do learn you AI skills

00:33:25: Yes at no matter their age because that's one thing that needs to stop is ageism.

00:33:31: That people think, oh and I've seen that unfortunately a lot where i come from in Germany.

00:33:36: After you're fifty they are almost retired and have been taking seriously.

00:33:41: And now with we still need a workforce.

00:33:45: So anyone that wants to learn, anyone who wants to reinvent themselves they all should be given the opportunity.

00:33:52: so it doesn't matter young middle-aged older senior as long you get your job done.

00:33:59: know have knowledge about technology You can be valuable in the market yes.

00:34:04: and then what would be those diverse teams which are very successful of all genders, of all ages working together.

00:34:14: And we see the experiment right now where... We have four generations working together at The Workforce Right Now and I've seen them how they work!

00:34:22: It's definitely a lot of new type of innovation that wouldn't be possible if those teams didn't exist yet.

00:34:29: In talking about leadership what would you say?

00:34:32: old-school leadership is not necessary anymore?

00:34:35: That it isn't relevant any more?

00:34:36: What will change in future?

00:34:38: or kind of leadership would it require for a company to be successful?

00:34:45: I'll say that, but very careful because at some point in time i always like use the analogy of being a captain of your own ship.

00:34:53: sometimes you do have to give what would be someone else and delegated, I don't have check in their control of everything.

00:35:01: But if there is a storm or something goes wrong then we need to be authoritative so that everybody knows the change-in command.

00:35:09: So it's become from just not having this hierarchical static authority to being really situative and emotional context correct Leaders.

00:35:22: they need to learn exactly in which situation, Which type of leaderships to be that?

00:35:27: They have to learn To Be authentic.

00:35:29: but they Need to Learn when they need also to be a servant Well leader or When they need.

00:35:35: To be A coach when they Need To move and really be the one their hands That The captain is showing any type Of course It's.

00:35:43: it's very important that they they've learned to face The reality that if they also don't come back and change in their leadership, those companies will cease to exist.

00:35:56: The moment we as humans become arrogant say oh no I already know how to manage people That's when there is a big huge change that comes And breaks it.

00:36:09: And one example is that of... I'll go back to my first example, Netscape.

00:36:14: At some point in time a whole way bit more psyched were so cool we're the best.

00:36:18: they stopped listening.

00:36:20: then came company named Microsoft and there was selling Netscape.

00:36:24: you had to pay for it said everyone oh!

00:36:27: We give you Internet Explorer for free.

00:36:30: So then what happened is that there's always going to come someone younger, faster with a better product.

00:36:36: With much clever marketing and would be an adaptive team which will replace you.

00:36:44: And we saw it also happen in Nokia.

00:36:47: We've seen this several times.

00:36:50: Some people might not remember that Before Netflix everybody used to buy.

00:36:55: They're all DVDs.

00:36:57: Yeah, that was a big company in the

00:36:59: U.S.,

00:37:00: blockbuster and they went

00:37:02: bankrupt.

00:37:04: Blockbuster won bust because

00:37:06: they forgot it's number one role in leadership and change.

00:37:11: wasn't somebody who said like always be paranoid or something?

00:37:17: You have to scan your market?

00:37:18: yeah And you have to be humble enough to listen and have a strong team.

00:37:23: as I All the talent that I hire, I want to listen what they have to say.

00:37:29: Because I don't know everything and not even Chadi Petino knows everything!

00:37:34: Yeah especially nowadays changes so fast... So arrogance is really a good advisor right?

00:37:39: Like be always humble.

00:37:41: I like that.

00:37:42: Towards the end of the interview, Katrin also has some questions.

00:37:46: I always liked to ask.

00:37:47: my guest is if you had to pick a superpower next your current superpowers which one would you pick?

00:37:57: Yeah i think...I remember I mentioned it last time and we spoke but just forgot.

00:38:02: But maybe this will be the ability go in time I think to really see what has had happened and what will happen.

00:38:16: Would you rather go into the future or past?

00:38:19: I'll go in the future!

00:38:22: And then if you would buy an audio biography, which one do you

00:38:28: want to buy?

00:38:29: Oh i mentioned that before.

00:38:32: so... a lot of new people are there was just recently was able then to find.

00:38:44: And this person, she was a first an artist and then an actress.

00:38:53: but what a lot of people didn't know is that in what would be the second world war, and then bringing good intelligence across the pod for that.

00:39:10: But also that lady was an inventor of Wi-Fi.

00:39:14: That is one aspect that intrigued me very much.

00:39:18: She was able to have all those different aspects The particulars moving herself in a man's world, particularly dangerous worlds during the war.

00:39:32: But always reinventing her self and becoming what would be then a tech genius or maybe she was always a genius.

00:39:38: but that is one thing I didn't realize surprised me.

00:39:41: Interesting!

00:39:43: Final question do you have mission statement, a credo?

00:39:46: Or some kind of motto In your life that you live by?

00:39:52: Yes And That One Is Always?

00:39:54: When I Wake Up To Be Grateful

00:39:55: For What I Have I always wake up and wake-up in

00:40:22: gratefulness.