Cutting through the hype. How enterprises can apply a strategic lens to leveraging AI to achieve ...
summary
Built a group AI operating model that pairs LLMs and RAG retrieval with clear data provenance, governance and guardrails, focusing pilots on measurable ROI rather than hype. Claims that technology is only 20% tech 80% change of the effort and that prioritizing use cases by impact (for example 10% efficiency on 4,000 people beats 80% on ten) drives faster wins. Prototypes move to pilots with quant and qual baselines, then either scale or stop; governance, AI literacy and traceability determine whether solutions actually deliver.
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chapters (9)
- 0:00Introduction
- 1:11AI adoption needs strategy
- 2:57Technology is 20% of AI success
- 4:22High-impact AI business functions
- 6:50Practical AI strategic framework
- 13:12Scaling AI with transparency
- 16:43Change management and AI literacy
- 18:50Data and architecture considerations
- 20:13AI governance and scaling
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