Video by Open Data Science and AI Conference via YouTube
Enterprise AI agents are moving from chat-based assistants to systems that can sense, reason, plan, and act—but production-grade autonomy requires the right architecture and governance.
In this ODSC AI East 2026 session, Dr. Ali Arsanjani, Director of Applied AI Engineering and Head of the Global AI Center of Excellence at Google Cloud, explores architectural patterns for building and governing multi-agent systems at scale.
The session covers the anatomy of AI agents, capability-centric design, multi-agent coordination patterns, and the role of frameworks like OpenClaw and Skills.md in standardizing how agents discover, execute, and share capabilities.
Watch to learn how teams can move beyond brittle prototypes and build agentic systems that are reliable, interoperable, compliant, and ready for production.
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