Generative AI and Agentic AI for Future Industry and Enterprises
summary
Argues AI is not a bubble and gives concrete steps: define an AI North Star, map data types and legal access, build lifecycle tooling for design → validation → continuous improvement, and run benchmarking so use cases actually deliver revenue. Recommends a hub-and-spoke central team, multiple AI stacks (at least two stacks (China + rest)) with edge for machines and clouds for fleet management, hybrid large+small models for domain depth, and warns of EU AI Act fines up to €35 million or 7% global revenue.
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chapters (11)
- 0:00Introduction
- 3:10AI ecosystem and value chain
- 5:42AI’s roles in enterprises
- 7:09Scaling AI use cases
- 8:35Data strategy and governance
- 10:20Regulator engagement and ambition
- 11:43AI Northstar for industries
- 13:08AI stacks and geopolitics
- 14:36Small language models and hybrid AI
- 15:41Autonomous enterprises future
- 17:09AI in healthcare and human evolution
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