 Ladies and gentlemen, thank you for your patience waiting for me and I would like to talk about digital twin introduce what do we mean with digital twin? why open source and Let me start With this statement that our new digital life will gravitate more and more around data around context data describing what's happening around us when where and why and Today we have the situation that this data are very much often in organized in silos not accessible in closed systems and our mission at five air is To break down the silos make data available on platforms and use them for smart solutions so what is the approach it is the approach to Access data describing what's happening in the real world. So to capture this data Put it into a digital representation of the real world and this is what we call the digital twin and then use artificial intelligence use big data analytics to analyze monitor and Process this data to update the digital twin and then to provide information back to the real world or directly to actuate out of the digital twin into the real world and autonomously driving car for example is nothing different than a car which is Operated in the digital twin in the digital world, but it's driving in the real world from a to be and to be able to do so We created the Fiverr ecosystem. We created the Fiverr foundation seven years ago headquartered here in Berlin and Fiverr is providing open-source software, but not only open-source software building blocks So this is very important to understand Fiverr is not providing a complete Platform a complete digital platform or a complete solution, but just building blocks like Lego stones And this is the first deliverable this above mentioned open-source software building blocks second part is Standard interfaces third part standard data models and especially these second and third elements are answering the question how to transfer data and which data to be transferred and which data to be Exchanged so we have here the standard interface which is called next-generation service interface and the standard data models And then we have different vertical solutions, but I will focus here today on the area of smart cities and in the meantime as Fiverr is an Non-for-profit organization. We are not doing any commercial activities This open-source components are either used by the end users directly by cities by regions if they have sufficient competence and capacity or by IT companies consulting companies which are creating digital platforms and smart solutions out of this And I will show you few examples afterwards So we have in the meantime on the fire marketplace more than 250 different powered by fire their platforms solutions up to trainings and services and Looking at the platforms this digital platforms, which are very often the basis for digital solutions for smart cities We have in the meantime 23 different partners who have created Smart city platforms based on fire their technology. I myself. I'm coming from ATOS. It's an IT service company It's called urban data platform to pick some more We have NEC from Japan called cloud city operation center in the meantime the first 30 cities in Japan Doing their digitization based on this on the right Amazon web services joined us or To name some German organizations like DK as our data and competence centrum Stette und Regionen Urban open urban data platform addicts from keel or and I will use this a bit later from hyper integrity called data space platform But the this data spaces don't create real value They're just collecting data providing data for smart solutions and the real values are coming from smart solutions And let me let me give you a few examples This is the former mayor of ain't oven a city in the Netherlands Nice city one problematic street and this street is called stratum signed. There it is One kilometer long 55 bars lot of alcohol high crime rate in the past and what they did is To reduce this kind crime rate They installed cameras Analyzing the moving patterns of the people no face recognition that we have GDPR in Europe second is microphones sound analytics Aggressivity level of the sound loudness where is it coming from and third social media analytics and by combining all this data describing what's happening in the street the system is able to do a predictive service for the police so the Police officer in the control room gets the right pictures in front of him or her and is now able to decide either To send proactively people there because he gets an alert within the next three minutes There's a probability of eighty percent that it will become critical in this point of the street or He or she is able to increase the level of light in that segment of the street Phillips is a partner of this project and It is proven that in eighty percent of the cases It is sufficient to increase the level of light to de-escalate an upcoming critical situation And it is proven that the crime rate has been reduced by more than 50 percent that there are Less damages in the bars the police people are used more efficiently There are less transportations to hospitals and the image of the street and the city has been increased or another example in this case from want to be deal a city the capital in In Uruguay in South America They installed five air already six years ago have a full blown smart city platform a lot of applications I'm showing here one. It's a flat real-time warning system. So they installed a lot of sensors in the city Connected floodgates and so on Standard business. What's really interesting is on the next page. They use this sensor data and Enhanced it by soil hydrological and metrological models again enhancing it by Information coming from citizen apps from Facebook from Twitter. So publicly posted information and Combining this information and creating a flat pre-warning system the Because they quite often have heavy rain situations in the backlands Which is causing flooding situation as we can see it here on the top right within the city and the citizens have an app like Google the app is able to Recognize where have I parked my car and the citizens are getting a personalized alert as An example with 90% There will be within the next 30 minutes half a meter of water at the place where you have parked your car So it's not like Nina, which we have here in Germany or cell broadcasting to everyone, but it's really a personalized Warning system for the citizens in Montevideo in Uruguay. So that's what happening based on five air in South America But it's also used in Germany in a lot of cities in Germany the fiverr technology and also in the little village where I'm living So I'm living in a village close to Paderborn in north from Westphalia Village is called Eteln on the way to become a digital lighthouse village in Germany and We started five years ago with this approach. We have you see it on the top right a digital village car An electric Car which can be used free of charge by the citizens like you know it here in Berlin car sharing They can book it via smartphone open it via smartphone, but it's free of charge same with the electric Cargo bike and What we did is after we? Deployed the and I think I have it on the next page After we deployed the necessary Infrastructure, so we have fiber to the home even fiber to the last milk can all over in the village We have a lower van network. That's a Yeah, mobile communication network. We have completely 5g. We're using also other technologies And in the meantime we have deployed a lot of sensors I will come back to that and We created a 3d digital twin of the village Using a viewer from virtual city systems you see over here, and I will show you some screenshots of this so that's a village 2000 people 600 houses and This is not a picture. It's a point cloud so we used to drone to create a textured point cloud of the village and This is a bit closer, and we are able Within this 3d digital twin of the village to show sensor data coming from the real world because the sensors are connected to the fire their platform and the fire their platform is connected to the 3d digital twin and By simply this menu point here. You can activate showing sensor data or the citizens can click on the on the church and get the Latest information from the church and All other information from the city there from the village there's also The city gml behind it so you can also get information which is publicly available for example in North Rhine-Westphalia Or maybe all over Germany Regarding the houses and their information And now I would like to come to another use case Which is in an area where in a construction area where new houses are planned So the first five have been built and then the flood in the art hall came and all people got nervous and We have here the situation Yeah, this is from another view this new construction area is at the end of a Site Valley Which is normally dry? So no water no real water problem but and now I have to I'm zooming a bit out. I have to switch back to the level of detail to So only this city gml Boxes of the houses and we see now I Putting in a simulation of a 50 years high water that the river is able to cover this so No problem that from the river water is going there, but in the situation of a heavy rain situation and Heavy rain means 90 millimeters Per hour and that's this all the simulation is also in this 3d model So we have yet that's in German Stark Regen extremis Ereignis Then we have the situation that out of this dry valley So much water is coming into this construction area that there is one meter of water and Now the responsible people in the city administration Are getting nervous shall we continue to build houses there and To support the decision process and also to make life for those houses, which are actually built you see them here a bit safer and You see it here when when zooming in now. This is one meter of water there in the simulation we have started to Deploy a lot of sensors Ground level water rain river level moist soil moisture flow meter and so on and We would simply copy the solution I showed you before from Montevideo to et alon because in the father ecosystem All are using the same data models the same interfaces It's open source and it can simply be transferred and so we will create a flat pre warning system for this little village and this is one of the solutions another one is an autonomously frying drone for the fire brigade and one dozen of other applications built on this digital platform in this village and Yeah, this is No, let me finish and I think we are getting yeah one minute And Five days in the meantime the globally leading open source technology for smart cities so far more than 350 cities in all over the world in India in Europe in Korea in Japan and so on are creating their smart city based on five air Technology we are a member driven organization Founded by four organizations seven years ago, and now we grew to more than 620 members from all over the world and This should have been my last slide