Running Autonomous AI Agents in Production: A SEGA Case Study in Product Classification & Enrichment
Description
This session presents Komatsu’s production deployment of autonomous AI agents over a governed Microsoft Fabric estate integrated with Purview and CluedIn. We cover the architecture, agent execution model and parallelism, governance and audit controls, and concrete lessons learned from operating agents at 3–10M records/day, including failure modes and rule-performance tuning.
Key Takeaways
- This session presents Komatsu’s production deployment of autonomous AI agents over a governed Microsoft Fabric estate integrated with Purview and CluedIn
- We cover the architecture, agent execution model and parallelism, governance and audit controls, and concrete lessons learned from operating agents at 3–10M records/day, including failure modes and rule-performance tuning
- Technical — implementation and architecture
My Notes
Action Items
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