 All right, thanks very much. Thanks for having me This should be an interesting day. I mean I was watching the demo. It's pretty mind-boggling This is the kind of stuff that five years ago you would have said no no no This is Star Trek right kind of looks like this. So who has ever seen a live futurist before anybody has yeah Okay, most people only know what a futurist is so I will start with this. What does a futurist do? And a lot of people are actually experiencing when I speak you know I've done about 1,600 talks in the last 12 years and I see this a lot kind of a future shock You may know the book by Alvin Toffler or This I'm Fascinating and you know that Spock Lend on Neymar died a few weeks ago. So fascinating as a word. I use for the unexpected Fascinating Fascinating Fascinating while you get the point a lot of my a lot of my work is fascinating But it's also quite scary sometimes when you're looking at the future saying wow all these things are happening That look like Blade Runner like minority report But keep one thing in mind when we talk about artificial intelligence and big data right? This is not Hollywood Hollywood makes movies so that we're entertained that you know artificial intelligence will not take over our lives in ten years, right? There are some dangers and we'll talk about that, but basically what we have now is pretty Amazing fascinating and sometimes scary exponential change and this is interesting You know when I started on the internet 1995 Doing something like Spotify. We were right in the beginning of this curve And it didn't matter if you would double from zero point zero point zero to you know on from there But today we're actually here. We're at the takeoff point of an exponential wave of technology And that has lots of challenges and lots of really amazing things that we see happening here at this takeoff point We're going to see stuff that is for example the idea of how long computers will have to Advance to fill have the same capacity than the human brain. This is a great graph You know for illustration purposes same thing as here not much happened in the beginning But then we have this right very quick growth in just 10 15 years All of a sudden were records were called to singularity, which is an interesting thought that the machines could be as intelligent as at least with numbers And not emotionally hopefully Then then humans, but definitely a change that we're going to see in the very near future Everything that can be digitized and automated will be music films television books money Yesterday Facebook money and today was announced Everything that can't be digitized automated will be mind-boggling change and basically what's happening technology and humanity Or overlapping Now I see this primarily as a positive thing I mean, it's an interesting angle when you're looking at this You know it could be all kinds of dystopian stuff that we see out of this including The the possible reign of robots, right? But basically we have to think about technology also in an ethical way This is probably I would add that to the tagline a new way to work a new way to think about values That will be also be important But when we look at this curve one more time, we go back to what this company. What would they call? I think something with an end Nokia Used to say connecting people Now it's used to be about connecting things the Internet of Things, but tomorrow is about connecting intelligence That's a whole different cup of tea So we're talking about stuff like this, you know, we've seen this around for years cloud computing and data You've seen of course the possibility of tracking and looking at people and reading what they do You look at basically looking inside of people with nanotechnology and nanobots and all the stuff That was you send out genetic engineering and of course the future of robotics and artificial intelligence And all of that is going to be about connecting intelligence This rather convoluted slide is from a friend of mine Frank Diana. It shows one thing really important And we'll make this available for downloading later is that these trends are combinatorial not just exponential So you're looking at all these things together connected healthcare sharing economy autonomous vehicles. It's all happening at the same time It's not happening one after the other. So if you think about this combinatorial exponential interdependent It's a pretty mind-boggling future the next 10 years will hope flas and probably of course after that as well Very important to recognize about computing. We used to use computers for system of records keeping stuff keeping information Then a few years ago social media so-called About systems of engagement. That's what we see here, right and then about systems of intelligence And that's a really different way of looking at an order of magnitude larger what we're doing here It's a lot larger to think about intelligence and engagement than to think about records So if you have data and that's just records, it's kind of useless right is dumb data garbage in garbage out, right? Can't do much with it, but intelligence. That's a whole different cup of tea Hemingway has a great saying How does a man go broke? Gradually then suddenly and I can't tell you how many of my clients have experienced this Because five years ago. We're looking at this and we're saying yes. It's totally obvious what's gonna happen, right? Facebook and all the social media companies and what's happened. They will do money, right? If you're a bank It's obvious today it happened and the banks are crying. Oh my god, you know, what are they gonna do one billion people can Send money to each other for free We're talking about I mean, this is a huge place of disruption. That's right here between the linear and the exponential So digital transformation of pretty much every industry again started with music film television books You know, most people are now that are getting a little bit Not exactly to be 25 or 30, but older are looking to read on the kind of life because you can zoom and you have a light right Digital transformation of books three times as many Kindle books sold as printed books in a very short time And we're talking about this right a reset of the mind How we work how we interact how we communicate and of course, what kind of values do we have? I mean, it's clearly going to be very important discussion here and we're no longer thinking about industries It's a very interesting example. It's a great book called the end of competitive advantage It's not my book. There's still a good book. It is basically like this, right? The industries are converging to be an arena I mean if you're looking at IBM is a great example, right? IBM is now playing an arena of things It's no longer what boxes hardware or software. It's a whole arena of things That happens to all of us now Every day we're thinking about what else you take the example of Tesla my favorite example Tesla is not in the car business. What business Tesla in? mobility transportation data I Mean they're connecting data they're finding data on what people do and they're going to sell their data And they're going to get into businesses that have nothing to do with four wheels That's arena thinking we have to think about arenas great example here About arenas think about the self-driving car, right? When we look at the self-driving car You know if you actually drive isn't this not going to happen in the way that we think in 20 years You know driving a car is extremely complicated for humans, but driving a car in a separate lane in the city We're going to see very quickly. Here's a short little video clip from a Dutch insurance company It shows what happens when you don't have the right context and timing Introducing the all-new self-driving car it does the driving for you so you can catch up on the more important things in life It automatically takes the right turns Effortlessly avoids unexpected obstacles Well you get the point you can see the rest on YouTube, but you know if the context isn't right for what we're doing It it's a misfit It has to fit in with the other stuff with society with other things great example is television Transformation happen in television. It's no longer this I mean if your 20-year-old kid moves out he's not going to have this he's gonna have this right the cloud Television is in the cloud now. It's any screen any anywhere in the world if a movie studio This is not going to look very good for you because in the past you sold a DVD for 25 years Now you're selling hulu or Netflix for $10 a month for a hundred thousand movies That's called disruption So I have a question for you for your businesses is some of what you do Digitally contestable can come somebody come up and take a piece of what you do by inventing something around it That's a key question Airbnb Just robbed hotels came into the back door Facebook today the banks and Those competitors are not from your sector, but from your arena very important to remember Gary Hamel said the biggest reason the companies fail is that over invest in what is as opposed to what might be This is a key point, especially in Germany right speed over perfection. I would never say that in Germany, of course This whole idea of saying okay, we have to think about what might be what they use imagination I mean why is 95% of of internet Entrepreneurship and and new innovation coming from Silicon Valley right because they have imagination more than pretty much anything else We have to think about what might be All right, I'm of course I can execute as well But imagination is not really a sort of a cultural trade of where I live in Switzerland, right? It's more like a version But we have to think about what happens here now is that artificial intelligence is part of all of these things And it's mind-blowing the stuff that we see here Now look at this is a software that the Facebook founder Mark Zuckerberg invested in called vicarious And he says we're building software that things and learns like a human Think about that for a second I mean that's a sort of overlap of human machine and the interfaces. We're seeing every day now speak into your computer Gesturing you're not going to type in the words that we just typed in here earlier. You just speak And it will be interactively presented you'll have wearables that will do that for you There's good things and bad things about that You know, I would never have an Apple watch myself because I'm already distracted enough as you can tell And but computers are no longer that other thing outside of us This is a very big shift in society. We have to think about that means for example for sensor networks the internet of things Technology becomes invisible and kind of moves inside of us and look at this You know, this is actually very fitting to the topic here at mainframe desktop computer laptop tablet mobile head I could be having a hell in America. They say that there's a very good word for this a term You know how called hell then right as hell and heaven both depending on how you look at it But you know predictive analytics clearly will become a default predictive not not in the sense of predicting like, you know, five years from now But getting a good sentiment and using solid data to do that. I mean clearly we're going to see a lot of this not this but This is an interesting slide that points in the right direction Because while we have prediction models and we can do that week, we will not have omniscience. I Mean ignorance is dangerous, but omniscience looking for omniscience is even more dangerous It's very important to remember that we have to have those insides, but omniscience is not what we're talking about here There is another part to that equation So if we go on this direction, we're clearly seeing this mind-boggling warp speed takeoff going back to Spock, right? He's inside of this and many people talk about this being sort of a VUCA world volatile uncertain complex ambiguous, you know, it's a military term so you can expect death to follow But we have another kind of VUCA that we're seeing all around us velocity unorthodoxy Richard Branson is like the embodiment of unorthodoxy Collaboration I mean actually what's called hyper collaboration and good old American word awesomeness Well, we say well, this is really a mind-boggling. This is awesome I once you folks up and once you start watching Netflix over the top and you cannot just do it in Switzerland But you know using an I be a tunnel right then you can watch the whole thing you say well This is awesome, man. This is what I've always wanted or Spotify Look what's happening here in terms of awesome how many companies have reached a billion dollar valuation the time has been crunched completely So I'll give you a short summary and then I'm I'm looking for your questions by our Twitter and then personally if you're some client point number one the future is exponential and combinatorial and It's gradually then suddenly so if you're wondering how quick this will take it is usually very gradual and then all at once It's very important to remember when you look at your client Invest more in what might be You should spend 5% of your time thinking of what might be then you're really going to be ready for the future Deploy systems of engagement and intelligence and I don't just mean software internally. I mean in terms of thinking This is not about records about data. This is about engagement and intelligence and the new VUCA is the flip velocity unorthodoxy Collaboration and I have finished with that awesomeness. Thanks very much for listening