Keynote Panel: Future of AI agents
summary
Analysts predict 200 million agents in three years and panelists show concrete builds: a morning news agent that scrapes stories, summarizes and produces audio within hours and a sales co‑pilot that identifies buyers using CRM data. Healthcare prototypes write SQL to query EMR so responses are deterministic and avoid hallucination; warehouses and surgical systems use agentic control and reinforcement learning for autonomous decisions. Tooling examples include LangChain and LangGraph, AWS Bedrock/Autogen and emerging multi‑agent orchestrators; challenges are ROI, hallucinations and loss of human empathy.
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chapters (7)
- 0:00AI agents introduction
- 2:05Panelist roles
- 15:55AI agents vs automation
- 31:05When to use AI agents
- 43:44Favorite AI tools
- 49:03AI agents and AGI
- 54:01Key takeaways
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