Large-scale Enterprise Co-pilots - Making AI Useful for Business
summary
Claims that matter: Microsoft already ships 110 co-pilot products and defines an agent as an LLM that takes inputs and outputs actions, not just chat. Practical method: run 100 experiments → ~25 wins to identify where AI actually saves effort. Concrete result: a two‑person fashion line cuts launch time to a third using vision and prompt workflows. Focused guidance covers the three agent activities—planning, review, tool use—plus LMRO for discovery and urgent work on observability, guardrails, and governance.
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chapters (13)
- 0:00AI adoption challenges
- 3:12Hype cycle and skepticism
- 7:24Microsoft AI transformation
- 8:28Tech revolutions and AI era
- 10:51Predictive to agentic AI
- 12:55Automation versus AI agents
- 15:01Defining AI agents
- 17:29AI in niche industries
- 19:15AI in retail workflows
- 21:46Measuring AI impact
- 23:36Future of AI search
- 25:02AI agent governance
- 26:07Call to action
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