Panel Discussion: Trends in Generative AI
summary
Panelists argue the practical shift from chatting with PDFs to agentic AI that autonomously plans and executes workflows, while multi‑agent systems expose uncertainty and need knowledge‑graph guardrails. Startups target vertical AI—insurance pricing, legal ops, clinician note‑taking—using proprietary data and graph databases; enterprise blockers remain hallucinations, explainability, LLM costs and regulatory risk (EU AI Act). Concrete wins include agentic notes for doctors and an AI co‑pilot for dynamic cyber‑attack simulation, but data cleaning and selective exposure of unique data prove critical.
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chapters (14)
- 0:00Introduction and panel
- 1:18Introducing the experts
- 3:36Moving beyond chatbots
- 6:30Role of knowledge graphs
- 8:12Personal and enterprise data
- 10:46Vertical AI opportunities
- 13:01Startup trends and growth
- 15:24Enterprise in-house adoption
- 17:25Ethics and regulations
- 20:14Implementation and AGI
- 22:20Data quality and preparation
- 24:29AGI expectations vs reality
- 27:09Data privacy considerations
- 29:05Closing advice
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