Optimize control processes in changing environments
Autonomous systems for production yield optimization built on Microsoft Project Bonsai bring AI from research labs to real-life manufacturing process control. By leveraging machine teaching, deep reinforcement learning, and advanced simulation technologies, Neal Analytics designs, trains, and deploys AI agents by customer’s manufacturing lines.
The AI agent combines classical process inputs, real-life heuristics, and relevant environmental variables to help optimize production yield while considering a broad set of potentially competing priorities. Once deployed, the AI agent (aka “Project Bonsai brain”) will either advise operators or directly oversee the manufacturing control system while remaining under operator supervision.
How PepsiCo makes the perfect Cheetos with the help of autonomous systems
PepsiCo is a leading food and beverage manufacturer, and Cheetos are one of its most famous snacks. But how can PepsiCo ensure they manufacture the perfect Cheetos every time, even as the production environment changes?
Neal Analytics worked with the Microsoft AI engineering team and Cheetos manufacturing experts to build, train, and deploy an autonomous system leveraging the Microsoft Project Bonsai platform. This solution helps PepsiCo ensure the perfect Cheetos snack comes out each time.