AI-Driven Business Success: Measurable Results and Revolutionized Sales
summary
Bank moves sales from opinion to data driven systems, using eightfold more data over five years aiming 10x, with 1.2 million customers and 120,000 SMEs as the target base. Team builds product‑specific ML models (binary and multiclass) to power next‑best‑offer and outbound campaigns, tests via control groups on large campaigns of 10,000+ and reports CRM campaigns drive 51% of loans sold. Infrastructure migrates off SAS and is migrated 100% to Python, deployed on relational DBs with BI support, using triggers but not yet real‑time.
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chapters (15)
- 0:00Introduction
- 1:59AI in modern banking
- 3:51Market forces for AI
- 6:01Data-driven sales
- 8:12AI recommender engines
- 10:44ML for outbound campaigns
- 13:20AI’s sales impact
- 16:43AI in loan sales
- 19:18Q&A
- 20:36Q&A
- 21:50Q&A: SAS to Python
- 22:58Q&A: Model deployment
- 24:46Q&A: Real-time marketing
- 26:10Q&A: Dynamic data goals
- 28:19Closing
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