 Thanks for joining us here in Geneva for the AI for Good Global Summit 2018. My guest today is Eina Biogo, he's the manager of the UN operational satellite applications program UNOSAT. Thank you for joining us, sir. It's a pleasure to be here. So to start with, what can you tell us about the applications of AI for Good to fix the world and its problems? Well, I think this technology is now starting to mature at a certain level so it actually can have a global impact for good. We are talking a lot about sustainable development goals here, about the agenda 2030, how we all need to come together across different sectors, across different themes to actually make the world a better place. So this technology has a huge potential and it's starting already to see the effects and the impacts from it. So I strongly believe that merging this technology with different thematic expertise with this conference so well highlights is really very timely and very, very important discussion to have right now. So this technology of artificial intelligence and machine learning if you like can be applied to all the different aspects of the sustainable development agenda and that's what makes it so interesting. So tell us specifically about AI for Good in your field, satellites. So in our field what we are striving towards because it's a fact that satellite imagery has so far not been used to its full potential and not as satellite communication or satellite positioning systems have been. They are integrated into our lives. There are many good applications of satellite imagery, for example weather forecast where you see this happening today. However, there's still a lot that can be done using satellite imagery. What we are seeing now is thanks to big data, thanks to big data processing and analysis, we can train the machines using machine learning, using artificial intelligence to analyze satellite images at a scale never seen before and that is what makes it so interesting because we have been analyzing individual satellite scenes for a long time but now we can really take a stab at global data sets for the global good for the global sustainable development goals. So thanks to satellite images that have global coverage, we can apply this technology all over the world and we can have an impact at the national level which is what is really needed in order to support the countries towards the sustainable development goals. And can you give us specific real life examples? I'm thinking of agriculture for instance, how can it help? Yeah. Can you tell us about that? Absolutely. So agriculture or other classical remote sensing applications can really benefit from this technology because if you can link with field-based information, let's say what we call field-validated data, for example a photo or a description of a crop at a specific location, you can take that information, match it to the signal that the satellite reads and then all of a sudden, thanks to artificial intelligence, you can produce global data sets, national data sets, regional data sets, global data sets based on this information. But it is important to understand that it is not a solution that can be applied without this link to ground-based information if you want it to be highly accurate. However, it is a super-efficient way of doing it and it has great potential for supporting especially the countries that are the furthest behind because they have very little of such capacities. But we can, using this technology, we can serve them in a much, much better way than what we have been able to do so far. So we understand that AI has a bright future in satellite, but there are concerns around privacy in particular, so how do you address them? Sure. No, absolutely. I think these concerns are something that we have been discussing here over these days here in Geneva. It's important to have transparency on this to be completely clear on the data that are being used, how they are collected, how they are processed, what kind of, again, ground data you are matching them up against, and how countries can have access to them so that there's also not a divide there. Of course, private companies can have access to this, so it's also very important that the countries themselves have access to the same information in order to have and to be able to take informed decisions of their natural resources, for example. So that is what we as the UN, as the UN Institute for Training and Research, we are very, very much about and supporting the countries and getting this knowledge and transferring this knowledge to these countries. Mr Bjorgor, thank you very much. Thank you very much.