 Welcome to the AI for Good Global Summit 2018. My next guest is Anita Schaar. She's managing director of the Kenya office of Chimetrica. Thank you very much for joining us. Thank you for having me. So to start with, can you present the work of Chimetrica and your mission? Sure. Chimetrica is a social enterprise and it has bases in Nairobi, Addis, New York, Denver and Brunfield. And work focuses on four key service areas, monitoring and evaluation, custom software, large-scale surveys and simulation and modeling. Okay. And do you already work with AI projects? Yes, we do. And the reason why I'm here was to present the methods for extremely rapid observation of nutritional status, which is an AI-related project funded by the UNICEF Innovation Grant. Okay, so nutrition is a good example of how AI can be used as a force for good, isn't it? Absolutely. Yes, there are 2.6 million children, according to UNICEF, that die of malnutrition every year. And the thought of a hungry child is, of course, a very very sad reality. Okay, so tell me about the summit itself as a platform to meet other stakeholders and work together to find concrete applications of AI. I think the summit has been incredibly useful in understanding what other actors in this space are doing, how AI has been used for smarter cities, for health, for satellite imagery purposes. And also it's been interesting to hear the challenges that other agencies and actors are facing in terms of data collection, in terms of data commons and quality standards, which is some of the stuff that we grapple with to on a day-to-day basis. And it's important to discuss all the different aspects or outcomes linked to AI. I'm thinking of trust, for instance. That's an important thing to consider when developing AI solutions. Yes. So have you attended discussions around trust, for instance? I wasn't a part of the trust track yesterday, but it is something that we've grappled within the practical implementation of our facial recognition technology for nutrition detection in Kenya. Okay, well Anderson, thank you very much. Thank you.