Enterprise and industrial AI: The great threat of complacency
summary
Claims an industrial AI and IoT platform is already built and deployed, trained on 1.2 billion hours of operating data and mapped to 55,000 failure modes, using anomaly detection and supervised models to move from human data entry to machine-native decisioning. Examples: locomotives get >90% of failures predicted, a class‑one railroad saves ~$100M/year while one customer avoids $38M in fuel, 2,500 wind turbines are optimized and some sites see up to 82% productivity improvement.
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chapters (13)
- 0:00Introduction
- 1:00About Ganesh Bell
- 3:00The birth of data processing
- 3:40The state of enterprise software
- 4:30The generational shift
- 6:10The biggest impact
- 7:50Opportunity
- 8:30Complacency
- 9:30Uptick
- 10:35Our platform
- 11:15Our journey
- 12:15Value
- 13:40Conclusion
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