 I want to first introduce Francois Barrault, who is one of the leading business consultants, runs his own firm and does a terrific job at that. Francois has been with us before and will lead us now in a discussion. Thank you, Jim. I have two challenges this morning to wake you up or reward the early bird and also to talk about very complex things in a simple manner so that you don't take your smartphone and do something else, so it's a real challenge. Despite my very young age, I've been in technology since 1977, I am my first computer, and not only I've been a witness of the evolution, but I've been an actor as well. So what I want to talk about is to look of course the main technology revolutions, but what does it mean for us? How do you compare a machine to a human? When you look at the evolution of the technology, you have two businesses. The first one is what we call B2B, business to business, and it's quite easy because everything has been designed by the man for the machine to serve the man. So it's quite easy because you know exactly what the machine will do. B2C is not as easy because you give technology to people and you never know what they will do with it. And that's how it's difficult to manage. It's like a kid, you give them toys to play in the sand and they might find themselves with the tools or do something else. When you look at the evolution of the technology, one of the first milestones has been the arrival of the PC. I'm not talking about all the goodies, but the PC given the person an access to a gigantic world which is called now the cloud but the computing. Then the smart phone came and the smart phone was a kind of remote control with a cloud and then came the very smart phone which you had a GPS location. You had also access to anything else and the power was so huge that you could do quite anything with it. So that's where it starts and when it hurts. I always compare the evolution of the computing with the body and the brain. We have a big advantage against the machine. Look at this iPhone. I can see it. I can smell it. I can taste it. Not great by the way. I can also use it, talk to it, whatever. We have five cents. We have five cents to communicate. The machine has two cents. The machine can see with the camera. The machine can listen, by the way switch off your personal assistant at home because everything is stored. So at least we have five to two. Now you're listening to me right now. What does it mean? Those loudspeakers transmit the sound at 300 meters per second to a membrane here that vibrates and transmit this information to your brain. You're looking at me. The speed of light is 300,000 km by seconds. Then it arrives in the optical nerves here and some of you know me. Some of you do not know me but the combination of my voice of the fact that you see me will go in the brain and create in the brain a kind of memory so that the afternoon when if you see me maybe you recognize my voice or see me. No, I have a question. I remember you that a digital fiber, the data goes at 300,000 km per second. When the information comes into my brain, either you see me, either you listen to me or either you touch me. What is the speed of the data because it's a data goes to your brain. Give me a ballpark. You will not be ridiculous. Okay, we have 300,000 here per second. Anybody more, less? Terry, the speed of data in your brain. We have a we have a bidder here at 400,000. It's an option. No. So I give you two datas. When I touch this phone, you know, I don't break it. I held it, not too tight so it doesn't fall. Okay. When I touch it, I have sensors. It goes into my brain at 60 meters per second. When it's my brain, it's 100 meters per second. So you know what I'm coming. We have a benchmark now between a machine that will capture the data immediately that goes into the cloud immediately. And we have a human being where we are very slow. The advantage we have five cents, but the machine has two, but the speed of data is really fast. So what does that what does it means for machine? I give you an example that you will all understand. We talked about that last year is smart cars. When you have an autonomous car on the road, and there is a donkey on the road, the car will look at the donkey. It takes us three duration to recognize a donkey, the machine 400. The machine will never have enough information to recognize its donkey because the edge computing today available is not big enough. So we will capture a termic picture. It will go in the cloud with five G's. Then there will be a bunch of people like in this room. There will be a lawyer. There will be a cop. There will be anthropologists. There will be whatever you have. And they will decide whether or not the case has been already exists. Or there will be a new case and say, oh, the donkey is cool. There is no car here. Just cool down. And whatever happens when the donkey pass his way, you just accelerate. So when you look at this process, you capture the information with cameras. The base car now have 16 cameras. It goes into the cloud 5G next generation at 300 kilometers per second. You have as many as resources as you want real time. They will decide, sign, give an order and say just break. Okay. What does it mean for us? It's very easy. You see it's a donkey. You say, oh, the situation is easy. You just break. That's what we call the reflex. So what's going on now with the fact that the technology is booming, the new malls law are arriving. That means new speed of communication to go in the cloud, new sensors, new quantum computing and new algorithm that will be able to gather all the knowledge on a subject will time and decide. There will be a competition with our reflex. The reflex is about 20 milliseconds. You know, at the 100 meters when the gun starts, if the sprinter goes before under 10 milliseconds, it's below the reflex. So it's a false depart. So we have a competition with a machine which deal end to end in a very fast and shorter and shorter and our reflex. We can talk about augmented intelligence. I hate this word artificial intelligence because it sounds fake, fake news, fake everything. When the process of the data of the machine is faster than your reflex, then you can talk about intelligence. So there is a competition right now between ours. The big advantage is we can correlate our sense and the machine. If I say hello to somebody in the morning, if he's tired or sick, I will see it. His voice is to be cracking. I will listen to it. And then if when I shake the hand, it's wet or hot, the correlation of the strict signals captured by my sense, we say, oh, your blood is sick. The machine doesn't have all those tools, but will go always faster and faster. So we're going to see in the next three years an incredible revolution that my friend has written in his book, the Transhuman Code, Carlos Moreira here, because of three technological revolutions. First of all, the new most known computing. Everything will be by a million faster and cheaper and smaller. The second, the 5G, where you will have access everywhere where you have the spectrum on the real-time. And then all those algorithms that will create real-time software. Then those revolutions will mostly change not our lives because we are close to saturation I would say with these kind of things. But on the B2B side, and there is a new circle law where technology change the usage. Usage change the business models and business models change the investment in technology. Just one example and then I will be done. We talk about this many times, but it's the best way to explain that. Knowledge during 20 centuries has been an asset to discriminate people. The people who know are the people at the elite. We've seen this in Greece with the Romans, with the bourgeoisie aristocracy. When Gutenberg wanted to socialize the knowledge, you know, he was in a bad shape. And one day, Internet came. Remember many years ago, the boss was the one who knows. He said, oh I have this information, I cannot tell you. So it makes a difference. By the way, I have a big office with five windows, you don't. So there is lots of criteria. One day Internet came and Internet allows with the blogs Wikipedia to commoditize the knowledge. That means whatever you need to know, just go on the net, type some semantic software and you have access to all of that. What does it mean? When you share something, the young generation, you share your pictures. Look, it's 849 instead of being in my bed, I'm a stage talking to early birds and thank you for that. So you share your experience. You share also your trips, you share your good experience in life. That means the usage change, that means tomorrow it's okay to share your car. It's okay to share your apartment, it's okay to share your bike and whatever. So the sharing economy has started because people mentally have changed the way they deal with things. So technology changed the usage. But what does it mean for the business model? During hundreds of years, the car was a social achievement. The car was a tool where you wanted to sign your richness or your power, you want to impress your neighbors and whatever. One day companies like BlaBlaCar, you share your cars. So what does it mean? The car is not an achievement, the car is something you share. It's the same with apartments. You used to go to hotels, you share your apartments now. So what does it mean when you build cars? Are you building cars or are you transporting people? Are you hosting people or are you sharing your apartment? So technology changed usage, business model and after the investment technology. It will also imply a new set of democracies because before we were controlling the people, now people can express themselves. I could talk during hours, but you will not be happy with me. Thank you. The good news is the best is ahead of us. The machine will never take control of our life as long as reasonable. And I count on you and I can count on my kids and their friends. Thank you very much.