Accelerating AI with Real-Time Data: AWS x StarRocks x RisingWave

Join us this June for a dynamic exploration of the next frontier in data and AI, powered by AWS, StarRocks, and RisingWave. As organizations strive to turn real-time data into immediate insight, the modern data stack must evolve — becoming faster, more scalable, and AI-ready. In this event, we’ll dive into cutting-edge architectures that combine cloud-native infrastructure, lightning-fast analytics, and real-time stream processing. Hear from engineering leaders and solution experts on how to build systems that move from data to decision in seconds.Learn about emerging best practices, real-world use cases, and the future of unified data and AI platforms. Whether you're building data infrastructure or driving AI strategy, this session offers valuable perspectives from the teams shaping the next generation of data systems.

📍 Event Details:

• Date: June 5, 2025 (Thur.)
• Time: 5:30 pm- 8:30 pm
• Venue: Room 05.100, IOI Central Boulevard, East Towers, 2 Central Boulevard, Singapore, 018916

Space is limited, so RSVP as soon as possible to secure your spot!🔑 IMPORTANT! To access the building, you must register for the event before June 1st. Confirmed attendees will receive a confirmation email before the event.

🗓 Agenda

5:30 PM-6:00 PM Food, Drinks & Networking

Begin your evening with some delicious pizza at 5:30 PM, sponsored by Celerdata

6:00-6:10 Opening and Introduction by Angela Chung, Head of International BD, APJ-China @AWS

6:10-6:40 Streaming to the Lakehouse: Real-Time Data Pipelines with RisingWave and Apache Iceberg™ by Ron Xing, Solution Director, APJ @RisingWave Labs

Highlights: As the modern data stack embraces open formats and decoupled components, organizations are looking for seamless ways to bridge streaming ingestion with analytics-ready storage. In this session, we’ll deep-dive into how RisingWave, a distributed SQL stream processing database, empowers developers to build real-time data pipelines that write directly to Apache Iceberg™. We’ll show how this unlocks fresh, low-latency datasets for consumption by a wide range of query engines—including systems like StarRocks—and how such architectures can run efficiently on cloud platforms like AWS.

6:40-7:20 Fuel Your AI with StarRocks — A Real-Time Lakehouse by Harvey Liu, StarRocks TSC Member & Staff Engineer @Celerdata

Highlights: AI workloads need scalability, low-latency queries, support for diverse data formats, and real-time ingestion. StarRocks is a high-performance lakehouse query engine optimized for modern AI data needs as well as BI, bridging different analysis needs in the age of Gen AI.

7:20-7:50 Data foundation for analytics and AI by Sean Chang, Solution Architect, Startup ASEAN @AWS

7:50 PM -8:15 PM Networking