# Singapore 2025 > Flink Forward Asia Singapore 2025 (July 3 2025): Apache Flink® & Everything Streaming Data. Talks, speakers and agenda of the Apache Flink® and streaming data… Source: https://asia.flink-forward.org/singapore-2025 Apache Flink® & Everything Streaming Data **Singapore** July 3, 2025 - [Watch recordings](https://www.youtube.com/playlist?list=PLDX4T_cnKjD2qa7EwyxHb9H8pBACbGkkE) ### Flink Forward is your conference for all things streaming data and Apache Flink! Flink Forward is your conference for all things streaming data and Apache Flink®! It presents an unparalleled opportunity to delve into the latest developments, strategic roadmaps, and groundbreaking innovations within the Apache Flink® ecosystem. Flink Forward Asia is organized by [Alibaba Cloud.](https://www.alibabacloud.com/) ## Agenda ### This year, Flink Forward Asia Singapore 2025 offers a full-day conference schedule. Enjoy a full day of insightful keynotes, breakout sessions, and interactive booths covering 20+ compelling topics. This year, we proudly offer three distinct tracks, and we are actively seeking topics to enrich these sessions. Register now to be the first to receive updates! Experience the future of real-time technology in Singapore. Engage with fellow enterprise CTOs, CIOs, IT directors, architects, and big data developers from the Flink community. ## Topics ### Real-Time AI Explore the cutting-edge convergence of real-time data processing and artificial intelligence and discover how Apache Flink empowers AI with real-time capabilities. This session will explore a wide range of topics, including but not limited to agentic AI, retrieval-augmented generation, automated data processing, real-time feature engineering, and the innovative applications of real-time data-AI integration across industries. ### Real-Time Lakehouse Real-time lakehouse has emerged as one of the most popular innovations, leveraging Apache Flink's streaming computing alongside lakehouse formats like Apache Paimon and Apache Iceberg. This combination allows users to significantly accelerate computing pipelines at minimal cost, enabling both streaming and batch computations within a unified data lake platform. ### Real-Time Analytics Deep dive into the world of real-time analytics, where data is transformed into actionable insights at unparalleled speed. Discuss the core technology of Apache Flink and explore how Flink enables organizations to process and analyze massive streams of data in real time, empowering use cases such as real-time dashboards, fraud detection, IoT monitoring, operational intelligence, and personalized recommendations. ## Speakers - Junhua Wang — Vice President and Head of Computing Platform, Alibaba Cloud - Mike Gualtieri — Vice President & Principal Analyst | Guest Speaker, Forrester - Feng Wang — Head of Open Data Platform, Alibaba Cloud， Apache Flink Committer ,Apache Paimon PMC Member, Alibaba Cloud - Akash Goel — Head of Data Engineering, Goto - Jingsong Li — PMC Chair of Apache Paimon,PMC member of Apache Flink,Head of Alibaba Open-source Data Lake Platform team, Alibaba Cloud - Jark Wu — Head of Fluss and Flink SQL, Alibaba Cloud, Apache Flink PMC Member, Alibaba Cloud - Mayank Rai — Sr Streaming Data Manager, Goto - Raju GT — Sr Software Engineer, Goto - Boyuan Huang — Senior Staff Product Manager, Alibaba Cloud - Xintong Song — Staff Software Engineer, Apache Flink PMC Member, Alibaba Cloud - Perry Huang — Product Lead of Realtime Compute for Apache Flink©, Alibaba Cloud - Luo Li — Director of Data Infra @ Shopee, Shopee - Mayank Juneja — Senior Product Manager, Confluent - Daren Wong — Software Engineer, Amazon Web Services - Lincoln Lee — Staff Engineer, Alibaba Cloud - Hong Liang Teoh — Senior Software Engineer, Apache Flink committer, Confluent - Tushar Pednekar — ASF PMC (multiple projects), Entrepreneur, Investor, Synx Data Labs - Shuiqiang Chen — Software engineer, Tiktok - Leonard Xu — staff software engineer, Alibaba Cloud - Zhen Fan — Staff Engineer, Alibaba Cloud - Yan Zhang — Staff Engineer, Celerdata - Christine Xu — Tech VP, VeloDB - Jenny Chen — Big data engineer, Lalamove - Owen Ip — Big data engineer, Lalamove - Calvin Tran — Senior Software Engineer, Grab - Yuanzhe Liu — Senior Software Engineer, Grab - Venkata krishnan Sowrirajan — Staff Software Engineer, LinkedIn - Johnson Noel — Senior Product Marketing Manager, Ververica - Richard Chen — EVP, Head of Supply Tech, Lazada Group, Lazada Group - Danny Higgins — Regional Product Solution Architect, OceanBase - Yuan Mei — Director of Engineering, Alibaba Cloud - Sanil Jain — Staff Software Engineer, Linkedin - Karin Landers — Sr. Product Marketing Manager, Ververica - Kartikey Pant — Senior Member of Technical Staff, Salesforce - Lang Tee Long — Senior DevOps Engineer, Grab Holdings Inc. Venue Island Ballroom, Shangri-La Singapore, Singapore ## Venue Singapore, a cosmopolitan city known for its modern skyline, vibrant multicultural atmosphere, and forward-thinking innovation, stands as a leading Asian tech hub, attracting global innovators to its premier conferences. With excellent international connectivity and accessibility, combined with its warm tropical climate, Singapore offers an ideal setting for inspiring collaboration and groundbreaking discussions in streaming data technology. The Shangri-La Singapore, nestled within 15 acres of tropical landscaped gardens, is a serene sanctuary in the heart of the city. Easily accessible and well-connected, the hotel provides a warm embrace with distinct service and smiles. Guests can escape the urban bustle to enjoy unparalleled culinary experiences, luxurious pampering, and family facilities. With three distinct wings catering to diverse preferences, Shangri-La Singapore is perfectly suited to host the Flink Forward conference, offering a tranquil yet dynamic backdrop for innovation and exploration. #### Organized by ![](https://cdn.sanity.io/images/t5hdll97/asia/3bb0eb44a37f5506ef62c95a1ed30d3857ea788c-595x75.svg) #### Created by ![](https://cdn.sanity.io/images/t5hdll97/asia/ff91bc4a91d7d8ab365074b3e990619839a929d5-512x91.png)