 Welcome back to the AI for Good Global Summit here in Geneva, where I'm now joined by Alexander Eranova from Moscow, who runs Deputy Director General of GLONASS, and you've come here to talk about saving lives in cars thanks to AI. Yes. I came here to talk about our system. It's the unique system in Russia, and we have a lot of plans to modernize this system with the help of AE, so I would like to present these plans here. And what is it you're presenting exactly? It's exactly about saving lives on the road. In medicine we have a term Golden Hour. It's the time, it's an hour, from accident, traumatic accident, to the arrival of medicine teams to the place, or maybe to the medical treatment. So our goal is to minimize this time. And we need to use AE, we need to connect with different informational systems called centers and other and other to put the real risk team, which helps each case. And have you said, how long has it been running already, you're using it already in Russia, right? Yes, we're using it already in Russia, but I'll try to describe. Now we have, now in Russia, every car has a terminal of aeroglonass of our system inside the car. You can, if you are in the accident, you can push the button by yourself, but if the damage is strong, the button connects with us automatically. So now we have to, we do everything in blind regime, you know, the button automatically connected with us and we think that driver is not okay. So that's why we have to call risk team, medicine team, fire team, and somebody who can help with an accident on the road, maybe a lawyer advisor. But sometimes we don't need all of them. We just need maybe only a medicine team or only a risk team or maybe nobody. So that's why we need AE to understand who we need to call and what equipment they need to take. And I think you told me before we spoke on camera that you're saving lives already. Yes, already we, we already saved about more than the thousand lives already. Okay, great. Well, that's Alexandra Aranova from GLONASS coming here for the first time. Thanks very much. Thank you very much.