Webinar: Optimizing process manufacturing with Artificial Intelligence
Process manufacturing from extrusion to batch, paper, fiber, and chemical processes are complex and hard to optimize. Unfortunately, traditional command and control systems have limited capabilities in reducing their start-up cost, limiting specification drift, or ensuring consistent quality control.
With the advent of intelligent IoT sensors and actuators, Industry 4.0 opens the door to productivity advances that are not possible yet.
However, to fully reap the benefits of Industry 4.0, the command-and-control paradigm also needs to improve. With Autonomous Systems, manufacturers can now develop, train, and deploy advanced AI Agents on the shop floor, even without large data scientist teams.
This webinar will share how Microsoft Project Bonsai Deep Reinforcement Learning helps bring AI from the research labs to the manufacturing floor effectively and efficiently.
When: Tuesday, March 22nd, 2022 | 8:00 AM PST/ 12:00 PM ET
- Where can AI agents help optimize process manufacturing?
- What is Deep Reinforcement Learning (DRL) for AI agents’ training?
- How to build an AI agent with Microsoft Project Bonsai toolchain
- Demo: Plastic extrusion optimization
- Case study: PepsiCo’s Cheetos extrusion optimization with Bonsai
Olivier has more than twenty years of experience in the technology space across IoT & embedded systems, SCADA/MMI, APIs & SaaS, and has focused his last 8 years bringing AI-powered technologies and solutions to market.
A Microsoft and Philips Electronics alumni, he is currently Vice-President of Marketing at Neal Analytics a cloud, data, and AI consulting Microsoft Gold Partner. A Fractal company, Neal is headquartered in Bellevue, WA, and has won multiple Microsoft partner of year awards and nominations over the last ten years.
Olivier holds an MSEE in command system and automation from ESIEE, France, and an MBA from RSM, Erasmus University, the Netherlands.
Click here to connect with him on LinkedIn.