Agentic AI — From Hype to Reality
summary
Agentic AI refers to autonomous systems that plan goals, make decisions, and execute tasks; the talk examines which agent capabilities are realistic today and what risks and limits remain. It covers concrete issues companies face—security, data quality, governance, measurable business value—and reviews current enterprise uses, suitable use cases, architecture patterns, monitoring, human-in-the-loop approaches, and compliance considerations.
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chapters (8)
- 0:00Introduction
- 1:26From assistants to agents
- 3:35Use cases and business value
- 6:03Energy sector agents
- 8:31Agent development stages
- 13:43Practical grid operation example
- 16:27Agent architecture and security
- 17:50Future perspectives
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