Databricks AI Search
2 use cases using this technology
Empowering Marketing Teams to Drive Greater Impact at Reckitt
Reckitt
Reckitt built an AI system called the Insight Engine on the Databricks Data + AI Platform, unifying consumer research, product reviews and social listening signals to give marketing teams faster, actionable insights. The system uses Databricks Model Serving to deploy multiple LLMs including OpenAI's ChatGPT-4 and Google's Gemini, AI Search for retrieval-augmented generation, and Agent Bricks AI Gateway for governance. Reckitt's marketing teams achieved a 40% improvement in task execution, a 40-60% reduction in time to develop campaign concepts, 60% faster concept development, and 30% faster ad adaptation and localization, with hundreds of marketers using the AI tools across the organization by the end of 2025.
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.