# Singapore 2025 Agenda

> Agenda for Flink Forward Asia Singapore 2025 (July 3 2025): the sessions, talks and schedule of the Apache Flink® conference.

Source: https://asia.flink-forward.org/singapore-2025/agenda

Apache Flink® & Everything Streaming Data

**Agenda**

Singapore 2025

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## Agenda

### July 10, 2025-07-10

- 09:30–09:40 Opening Remarks
- 09:40–10:10 Real-Time AI Defines Our Future: Data Streaming Developers Must Build AI's Central Nervous System (Mike Gualtieri)
- 10:10–10:40 Apache Flink - From Real-Time Data Analytics to Real-Time AI (Feng Wang)
- 10:40–11:10 Reliable, Self-Serve and Scalable Realtime Data and Feature Engineering Platform with Flink, Kafka, and Kubernetes at GoTo (Akash Goel, Mayank Rai, Raju GT)
- 11:10–11:30 Apache Paimon: Unified Lake Storage for Data + Multimodal AI with Apache Iceberg Compatibility (Jingsong Li)
- 11:30–11:50 Fluss: Redefining Streaming Storage for Real-time Data Analytics and AI (Jark Wu)
- 12:00–14:00 Lunch Break
- 14:00–14:30 From Data Streams to Actionable Insights: Grab’s Journey with Flink in Real-Time Analytics and Data Quality (Calvin Tran, Yuanzhe Liu)
- 14:00–14:30 Flink State Management: A Journey from Core Primitives to Next-Generation Incremental Computation (Yuan Mei)
- 14:00–14:30 Accelerating Intelligence - Unlocking the Power of Realtime AI (Boyuan Huang)
- 14:00–14:30 Real-time Lakehouse @ Shopee (Luo Li)
- 14:30–15:00 Unleashing the Power of Flink: Alibaba Cloud Enterprise-Grade Streaming at Scale (Perry Huang)
- 14:30–15:00 Secret Sauce of Stream & Batch Convergence at Linkedin (Sanil Jain)
- 14:30–15:00 Flink Agents: The Agentic AI Framework based on Apache Flink (Mayank Juneja)
- 14:30–15:00 Data Lake Formation: Full managed Lakehouse for Data+AI on Alibaba Cloud (Jingsong Li)
- 15:00–15:30 Charting New Territory: LinkedIn’s Early Bet on Flink Batch for Large-Scale Workloads (Venkata krishnan Sowrirajan)
- 15:00–15:30 KartShoppe: Real-Time Feature Engineering with Ververica and Apache Flink® (Karin Landers)
- 15:00–15:30 From Stream to Sentence: Real-Time Generative AI with Apache Flink (Daren Wong)
- 15:00–15:30 Building Unified Lakehouse for Large-scale Recommender System with Apache Paimon in Tiktok (Shuiqiang Chen)
- 15:30–15:45 Break
- 15:45–16:15 From Hours To Seconds: How Peru’s Largest Bank Achieves 90% Savings Through Mainframe Offloading with Real-Time Data (Johnson Noel)
- 15:45–16:15 From Logs to Logic: A Structured Event System for Flink Observability and AIOps (Kartikey Pant)
- 15:45–16:15 Flink 2.1: SQL Advances for Data + AI (Lincoln Lee)
- 15:45–16:15 Accelerate data Ingestion in Real-time Lakehouse via Flink CDC (Leonard Xu)
- 16:15–16:45 Building an Efficient Product Selection Platform for Lazada based on Flink + Hologres (Richard Chen)
- 16:15–16:45 Enhancing Flink Deployment with Downtime-Free Shadow Testing (Lang Tee Long)
- 16:15–16:45 Real-time anomaly detection on streaming data using Random Cut Forest on Apache Flink (Hong Liang Teoh)
- 16:15–16:45 Real-Time Lakehouse Analytics with StarRocks: Powering Efficient Data Processing from Ingestion to Insight (Zhen Fan, Yan Zhang)
- 16:45–17:15 Building a Real-Time Data Warehouse with Flink and OceanBase (Danny Higgins)
- 16:45–17:15 Apache Cloudberry + Apache Flink : Scaling Real-Time Analytics and AI in a Postgres-Native World (Tushar Pednekar)
- 16:45–17:15 Building Real-Time Lakehouse with Apache Flink + Paimon + Doris (Christine Xu)
- 17:15–17:45 Powering the Next-Generation Data Platform: Lalamove's Streaming Lakehouse Journey (Jenny Chen, Owen Ip)