Overview

Learn about Microsoft Bonsai which uses deep reinforcement learning and machine teaching for autonomous AI to apply to industrial control. Microsoft Project Bonsai is a low-code AI platform that speeds AI-powered automation development and part of the Autonomous Systems suite from Microsoft. Use Bonsai to build AI components that can provide operator guidance or make independent decisions to optimize process variables, improve production efficiency, and reduce downtime. The intuitive interface lets users create AI with their knowledge and experience without requiring additional resources. Bonsai gives you total control over how AI supports your process and total visibility into why your AI makes decisions and recommendations. Then we will explore some actual industrial case studies and answer questions.

Speakers

Kence Anderson, Director of Autonomous AI Adoption, Microsoft

Kence Anderson is a Director of Autonomous AI Adoption with Microsoft. He has a BS in Mechanical Engineering from the University of California. He is a technical translator, storyteller, and business builder. His specialty is taking new and highly promising technologies to market. He's doing this right now with Deep Reinforcement Learning and Autonomous AI.

Phil Harvey, Principal Program Manager, Microsoft Research

Phil Harvey is a Principal Program Manager at Microsoft Research and an Autonomous Systems Architect. He has a BA in Artificial Intelligence from the University of Sussex. He is an expert in data & AI technical and business strategy & philosophy. He has published a book on data empathy which is publicly released https://unbound.com/books/data/.

Webinar archive

This webinar is free of charge and open to all to attend, but if you wish to access the slides and a recording to replay on demand then you will need to be a member of the Process Management and Control Special Interest Group.