Future of AI
summary
Panelists claim firms can apply provable bias mitigation and set enterprise governance via a "trustworthy AI council," describe using a feature store to expose new signals, and report deep learning on terabyte-scale data as the next step. Concrete wins include a fleet ML pilot that optimizes salt dispersion and cuts municipal costs, and production autopilot features in consumer cars; concerns focus on vendor model reuse as a customer behavior blueprint and on privacy/regulatory gaps.
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chapters (12)
- 0:00Intro
- 1:45Trustworthy AI
- 4:30Protecting Customer Data
- 6:40Improving Network Operations
- 8:45Growing Data
- 11:00Right Type of Data
- 12:55Which Matters Most
- 14:40AI Shaping the Workforce
- 16:50AI shaping the talent landscape
- 20:55AI myths
- 23:55My hypothesis
- 37:55Regulation
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