Fuck fuck fuck! No no no no no… Fuck!! Arrgh! Mama… What's with the driver? Oooahh! Fucking hell! Ahhh… *Bleep* Fuuuck! *Bleep* Oh wow… Wow… I just captured all of it… Fucking hell! – With what speed was he going? – Is he alive there girls? – Look! He fucking jumped onto the oncoming lane Fucking moron! – Somebody is fucking done… – Fuck Fucking hell! Where he is going? Is he stupid? Fucking shit! Andrew… Baby… we need to help these people, my god! Such a fools! Fuck! Fucking… – Fuck! – Fucking fagot! – That's it. He fucked up. You dumb bitch! Cars are coming! – Fuck. You're dumbass! – Break break – I will break, I will break. – Fuck! Dumbass, dumbass… I can't! – Fuck – He almost hit that car – Leha, are you gonna make it? – Yes. Bro… where the fuck you gonna make it? – Aaaa – WTF? Leha, fucking… Fuck! – Did you see what they're doing? Fucking hell! What is this? – Val', what was that? – I don't know – They almost rode us over. – Yes, yes. Go right bro, where
Smart cities has been bubbling along for a number of years now Cars, transportation, mobility, is fundamental to the smart city. We've got cars driving around the road network gathering loads of data. What are we doing with that data? Nothing. So Streamr can come along and unlock the value of that car data and also via its Network, help cars to talk to other cars to talk to roadside units to talk to the infrastructure that's running the road network. And then what were also doing is demonstrating the value of a data economy and how a data economy can actually work on the road network. So the first thing is we need a real electric vehicle. And the way we use it is we have accessed the CAN bus which is the central network of the car to be able to access the complete data which the car is producing and since Bosch has real real deep knowledge of all the systems and all the components in the car we really can make sense out of that data combining it to maybe new use cases in the future. So as you were driving around Zurich, the car has been generating data and it's the data you can see now. This is just raw stream and if you open now the Streamr canvas we can see the data in a more visual way so we can see charts for the speed, steering wheel angle, steering wheel angle velocity and also we can see our position here on the map. So cars are effectively computers on wheels, applications gathering lots of data. Streamr's part in all of that is the hub so it interconnect all this data whether it's an IOT device, whether it's a car, multiple cars, and also the infrastructure running the city. So imagine if he had all the cars driving around Zurich all connected and all talking to each other and actually getting all of that intelligence out. What you can then do is actually make people move around the city more effectively. So what we are going to show with this app, it's that any car, even an older car can join the Network and benefit from other drivers' data. On the app I can see that there's an obstacle on the road, which is generated based on the data from the car ahead of us. Now I can slow down and avoid it safely. This app it is a bit like wAze but everyone gets paid for their data. Even older cars can install this app on the tablet or on the smartphone. What really excites me about this app, is that it's unlocking the potential of the data that wasn't utilised until now and it also enables drivers to earn money for their data. I think at the moment we have really that challenging situation that we do not really have fair and open markets with data as it was planned in the beginning of the internet. What we see today is we have more and more monopolistic platforms I think we have the chance now to change that situation a little bit. We've had the web of data, data interconnecting. We've now got the Internet of Cars We can create something very collaborative, very open where all sorts of car companies could connect, and all sorts of organisations. But the point is, it's collaborative and it's an open ecosystem underpinned with a flow of real-time data, very fast with very fast decisions. So that's what I'm excited about because we're now actually taking the web, the web of data, to the next to the next stage and bringing cars which are amazing devices, into the mix.
big data is a general term to describe the fact that there are a lot of data produced every day and this data must be managed must be controlled analyzed and used big data is becoming the key asset for the whole production and manufacturing cycle as well as also the provision of services in the automotive and mobility space big data is actually at heart of how the extraction of sensor data and location data will be combined in order to provide services in order to allow common factories providers of telematics services allowing insurers leading car companies to actually predict movement of cars demand and create a whole ecosystem around the usage of that item like the driving means the car is connected to the internet and is connected to a number of services which will help driving the car will help convey information while moving around cities and infrastructures convey information on traffic on the information on weather and road conditions parking availability paying of tolls for example if you have a problem you can already connect to a shop service and book the repair that your car tells you that you need and even pay for that on the go so the car is your connection to the to the rest of the world while is moving and while is working a tech related to systems components parts that are working are of course very important for maintenance purposes warranty purposes as well if you know that something is breaking in advance before it happens you can avoid an accident avoid stopping the car breaking the part you can intervene on time you can even plan your logistics of your warranty and and maintenance part in advance because you know exactly what parts are going to be needed and where the Kirk I connect them it's already connected to our smart phones but you can improve on that and be an assistant because the card knows where you are it knows if there is a delay if there is a road jam you can communicate that automatically to your next appointment for example and postpone it a movie you will need to receive and you will receive messages emails information communication this must be related to you in a safe way you look into logistics and production we anticipate that the usage of sensor data in the production cycle would become much more efficient by using data in real-time and flowing it directly into the production cycles car manufacturers have already developed a very high degree of sophistication in just-in-time delivery models but we think that with big data analytics this will become even more efficient and much more closer time to market than it is already now it is truly the key question who owns the data and we clearly can see that there is no unique proprietary concept of ownership and data as such in the ecosystem of the automobile industry with the manufacturers the service providers the insurers the leasing car companies the holders of the individual vehicles the usage of sensor data and location data may be driven by different and divergent interests so car manufacturers who implement sensors might be thinking that they're entitled to have that data and transact with that data because they are the the original source of producing that data equally you could think about service providers they're actually using that data as the first ones to use that data and they might be saying well this is actually data we process and we develop and actually we have certain proprietary rights in it we want to describe a certain form of ownership or at least ability to transact on that data and the big question is then do they need to ask someone for permission yes or no and that replicates into the insurance industry that replicates into blazing car on operators so you can see there is a big big space open space which requires some careful legal thinking it is a real challenge for lawyers to think about how can you define how can you describe a certain attachment to certain types of data my abilities is another big issue of course if you have an automatic system a car that is driving itself that's the goal but then brings a lot of new players in the liability chain there is a driver there is a premium manufacturer manufacturer of the car so you have hardware suppliers software suppliers app developers all this chain of players could become liable something was wrong expecting with very likely the additive manufacturing 3d printing which will revolutionize any industry and manufacturing industry for sure if applied to to the car manufacturing it will completely change the supply chain their suppliers will be raw material suppliers and they will basically print their parts whatever they need to be the components their systems so it's a revolution that completely changes again again this is happening now and I think one of the best indicators why this is happening is if you look where the car manufacturers are actually pooling their talent and what they're laying focus on this is a great part of Silicon Valley this is software engineering this is massive if you go to those regions you will find out that the future is being invented there we're just scratching the surface and you'll see this roads so massively over the next few years it's it's just amazing you
across the landscape from point to point in a flash remarkable connections are made at the speed of light from a home a car an office in today's multi-channel shopping journey personal face-to-face connections give way to quick and personal exchanges of data in a flash what about you will you be at every point in your customers journey as we move toward efficiency do we move away from connection as we evolve with the world around us how do we capture more opportunities and personally engage human beings the answer is good data with good data on hand action becomes easy good data in easy wins out to capture good data your whole organization has to be in on it if not you're not getting the complete picture if you don't think you're part of this you are we all have a stake in this so we work together we log every up we chase down every web lead we syndicate our inventory to every source we live in brief data every day so we can make connections in a flash that ability to make meaningful personal connections is what turns good data into actionable data when everyone on your team is easily contributing details of those connections your data begins to take shape when users are fully engaged across your dealership you're building the complete picture what does actionable data look like you decide you