Practical AI: Driving Tangible Value in the Enterprise
summary
Panelists name concrete wins and failures: a computer vision system at Allegiance Stadium recycling demo uses existing cameras, bounding boxes and haptics points to measurably increase recycling and it works; regulators accept outcomes once teams build an AI governance committee and risk‑tier use cases; procurement and sandboxes speed model experiments; beware agent proliferation of dashboards and spreadsheets without orchestration; demos show generated code that detects an error, iterates and self‑fixes, proving proactivity matters.
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chapters (10)
- 0:00Practical AI introduction
- 1:03AI adoption challenges
- 3:29Regulatory and organizational constraints
- 6:40AI hurdles for small firms
- 8:51AI implementation strategies
- 11:36Breaking team silos
- 14:05Clients primed for AI success
- 17:34Keeping pace with AI evolution
- 23:49Future of jobs in AI enterprises
- 26:00Closing remarks
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