Enterprise AI at Scale: Success Stories and Insights
summary
Shows concrete enterprise wins: a Northern European tax authority cuts fraud by over £650M and adds £7B in revenue; Georgia‑Pacific runs 15,000 models across 140 plants, cuts unplanned downtime 10% and targets ~$350M from better forecasting; HSBC posts 500% higher loan conversions, 10x faster marketing execution and 200%+ ROI. Claims platform-level gains with SingleStore: 4x developer productivity, algorithms on average 30x (up to 326x faster) and models embedded in the database for real‑time inference.
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chapters (13)
- 0:00Introduction and welcome
- 0:23Data disruption parallels
- 3:56Learning faster with AI
- 5:43Government tax fraud case
- 6:49Manufacturing uptime improvements
- 8:14Bank lending decisioning results
- 9:41SAS platform evolution
- 11:28Developer tools for AI
- 15:04Pre-built AI solutions
- 17:12Models as a product
- 18:59SAS and SingleStore partnership
- 20:25Posten case study
- 22:51Wrap-up and key takeaways
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