Delivering business success with AI
summary
Provides a practical framework for turning models into value: business lead, business opportunity, data, AI capability. Shows concrete wins — product recommendations, churn scores, fraud and failure detection — and tools used like XGBoost, neural nets and NLP. Illustrates scale: 30,000 customers, 60 products → 5 million combinations and the impossibility of manual testing, so A/B pilots and ROI computation are used. Stresses continuous feedback, retraining after shocks like COVID‑19, and vendor vs insource tradeoffs.
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chapters (9)
- 0:00Intro
- 1:30What is AI
- 3:40What is machine learning
- 5:30Prediction machines
- 7:05Use cases
- 8:15How to achieve success
- 9:35Example
- 16:43Vendors
- 21:31Conclusion
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