Databricks Notebooks
2 use cases using this technology
Techcombank: Ushering Personalized Banking for Millions of Customers
Techcombank
Techcombank, Vietnam's largest private financial institution with 315 branches serving over 15.3 million customers, adopted the Databricks Data + AI Platform to unify data from disparate on-premises databases and a legacy data warehouse. Central to the initiative is 'Customer Brain,' a customer-360 tool centralizing customer data for targeted marketing, and the Lead Allocation Curated Engine (LACE), which uses AI insights to prioritize and assign sales leads. Techcombank built machine learning models for fraud detection and credit risk management, using an enterprise feature store with over 7,500 features and more than 100 ML risk models to manage a credit lifecycle handling a twentyfold increase in retail credit applications. MLOps on Databricks with MLflow cut model implementation from months to weeks. The bank is developing an internal RAG-based chatbot, Smartie, built on Databricks AI Search, and piloting AI/BI Genie for natural-language data queries. The platform has over 1,000 active users bank-wide.
TMAP Mobility Powers Smarter, Safer Travel
TMAP Mobility
TMAP Mobility, Korea's leading mobile navigation service with over 25 million subscribers and adoption in more than 95% of domestic vehicles, adopted the Databricks Platform to address data access and governance roadblocks that stalled AI-driven personalization efforts. Using Genie Space, non-data specialists can now explore and analyze data with natural language, and Unity Catalog provides granular permission management and column masking. As of September 2025, the analytics team receives 68% fewer simple data extraction requests, and approximately 48% of all employees can directly explore and utilize data. TMAP processes more than 7.3 billion mobility data points annually and used the Recommendation Engines Solution Accelerator to prototype and deploy scalable recommendation models faster.