Operationalizing AI Across the Enterprise
summary
Claims that 95% of AI pilots fail (MIT, n=53) clash with Microsoft’s claim that 85% of Fortune 500 deploy AI and two thirds see benefits; reality shows widespread experiments with ChatGPT, Gemini, GitHub Copilot, Microsoft Copilot but few productionized workflows. Examples: a bank builds hundreds of Office‑copilot–style agents, a school uses RAG for policy Q&A, and Progress rolls out companywide communities of practice, opinionated model presets and metrics; Notebook LM and Deep Research deliver 10–15x faster research, and saving 15 minutes per employee scales to roughly $250k per 100 staff.
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chapters (5)
- 0:00Introduction and AI hype reality
- 10:40Building blocks for AI success
- 27:46Progress’s AI rollout lessons
- 40:01Enabling teams with AI adoption
- 48:06Key takeaways and Q&A
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