Artificial Intelligence is not a magic bullet: Leadership needs to invest to see results and value.
summary
Claims that AI solves problems in minutes are misleading; real work requires leadership investment in three things: infrastructure, talent and clear business vision. Most industrial datasets are dark data with only ~30% immediately usable records, raising storage and cloud costs and breaking provenance. Practical path: optimize automate innovate — start with targeted workflows, measure value, clean data to ~80% accuracy, avoid vendor lock‑in with modular platform design, and expect foundation work to take months or years not minutes.
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chapters (8)
- 0:00AI’s limitations in leadership
- 4:47Why AI projects fail
- 8:21Optimize automate innovate
- 13:45Dark data challenges
- 20:14Building AI talent
- 25:31Race to resilience
- 29:45Return on innovation
- 31:50Call to action
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