Customer-Centric Real-Time Operations with
summary
OCBC describes a production platform built on YugabyteDB that powers 20+ use cases, including a hyper-personalization pipeline combining batch and real-time data with ML models exposed via REST APIs, and a real-time scam detector that achieves end-to-end detection under 65 ms. Claims include GenAI summaries of 200,000 pages/day, a 2–4× uplift in clicks and conversions on personalized banners, expansion to Malaysia and Hong Kong, and reduced false alerts up to 70% in production.
AI-written summary · about
chapters (5)
- 0:00Introduction
- 2:20Hyper-personalization with Yugabyte
- 9:44Real-time scam prevention with Yugabyte
- 14:19OCBC chose Yugabyte
- 16:02Conclusion
related talks
22mBuilding a Modern Data Foundation: A Conversation with OCBC's Head of Data Architecture
13mBuild Real-Time Analytics Platforms for Financial Crime Detection
17mBuilding a Scalable and Performant SaaS Platform with YugabyteDB
11mChallenges Deploying Modern Real-Time Payment Systems on Traditional RDBMS
57mNo Downtime, No Limits
13mTransforming Financial Services with Real-Time Analytics
30mFrom monolith to petabyte scale: Built a cloud-native, AI-ready data layer
25mHow Sharekhan Scaled Trading Platform with Yugabyte's Distributed SQL