01 Nov. 15:00 - 16:00 | L3 Session Room 14

Machine Learning in the field: An end-to-end architecture for real-time monitoring for remotely deployed personnel

AI on the Edge has the potential to change the way that we interact with the world around us. Microsoft is doing everything to make it easier for you to build products that embrace this new reality. In this talk, you will learn about the new advancements in the AI on the edge area, the products around it and how you can benefit from it now. There will be a showcase of the Bodytrak solution - Bodytrak is a solution to accurately monitor a person's key physiological signs and will instantly detect and alert across a broad range of conditions. The product is based around a small, non-invasive in-ear wearable device which relies on Microsoft Azure to provide real-time monitoring and analytics for personal well-being and safety management. The Bodytrak solution uses Machine Learning and proprietary algorithms to predict the onset of heat exhaustion and measure and report physiological strain and is designed to monitor and protect individuals working in extreme or hazardous environments. In this session, Bodytrak will describe its solution infrastructure for connecting and monitoring their customers in remote environments as well as sharing experiences from customers in the defence sector who are actively trialling this cutting-edge technology.