AI Agents for Autonomous Industrial Operations on
summary
Kelvin demonstrates agent-driven autonomous operations by building a closed-loop ML controller that reads streaming OT sensors and writes control changes via deterministic engines, using streaming OT connectors and AWS services like SageMaker and SiteWise for model training and reliable connectivity. A sand‑processing customer moves from human variability to automated control, reducing waste by 5% and lifting yield 10–17% (claimed up to $1M/day facility impact) while starting with human‑in‑the‑loop validation.
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chapters (6)
- 0:00The industrial challenge
- 1:48Defining the action cycle
- 3:09Platform architecture
- 5:04Human-in-the-loop agents
- 8:12Real-world case study
- 10:56AWS partnership and summary
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