Successful Projects through a bit of Rebellion
summary
Claims a private leadership community called Rebel AI peer mentorship group grew in 15 months and yields concrete tactics not fluff, shows a few multi‑million dollar wins and many failures, and tests GenAI with Gemini and GPT‑4o used in slides. Concrete examples: a fraud initiative surfaces 100,000 fraud cases found that shifts priorities and creates a bottleneck in the central fraud team; a random‑forest prototype proves valuable but is undeployable when turned into SQL rules, so practical deployment paths and testable baselines matter.
AI-written summary · about
chapters (14)
- 0:00Intro
- 0:27Who is Ian
- 2:57Building successful data science projects
- 4:45Rebel AI
- 6:13Stickers
- 7:32Building relationships
- 11:03Growing the team
- 15:32Picking valuable projects
- 19:47Beware the variance
- 23:35Overload
- 26:27Resilience
- 27:49Hiring
- 28:24Conclusion
- 30:59Exercise
related talks
41mHow to Fail with AI - and How to Succeed?
15mReshaping Business with AI
56mEnabling teams with AI
34mOrganized chaos adopting GenAI at Enterprise
48mOperationalizing AI Across the Enterprise
48mMastering the AI Shift: Adaptive Strategies for Software Evolution
47mHow To Build a GenAI-Augmented Software Organization
21mCreating an AI Culture in the Enterprise