🌊 Data in Motion: Streaming & CDC for AI & Agents
🌊 Data in Motion: Streaming & CDC for AI & Agents
When: 🕠 5:30–8:00 PM (🍽️ dinner included)
⚡ Real-time data is the foundation of modern analytics — and the fuel for AI and agent workflows. Agents can only learn, act, and adapt as fast as the data reaching them, which makes the streaming stack underneath matter more than ever.
Join VeloDB, Redpanda, and Datastrato for an evening on how teams are building that stack: 📥 ingesting at scale, 🔄 moving data with low latency, and 🔍 querying it the moment it lands — so your analytics, applications, and agents are always working from the freshest context available.
Three short talks, 🍕 dinner, and 🍻 conversation in SF!
✨ Speakers
Real-Time Data Architecture for the Agentic Era
🎤 Peter Corless — Principal Product Marketing Manager, Redpanda
Discover how enterprises are building enterprise-scale agentic AI applications. These real-time responsive systems require several components in their data architecture: event-driven data streaming, real-time analytics engines, and AI-centric application frameworks for governance, trust, and explainability.
Closing the Governance Gap Between the Stream and the Lakehouse
🎤Mark Hoerth — Product Lead & Solutions Architect, Datastrato
Streaming and analytics keep converging, but governance usually doesn't follow the data across the seam. A topic lives in one world with its own access model; the table it becomes lives in another. This talk shows how an open catalog can span both. Using Redpanda's broker-native Iceberg Topics to turn a live stream into an Apache Iceberg table with no ETL, and Apache Gravitino as the catalog of catalogs holding the topic and resulting table in a single metalake, we'll govern data the same way before and after it lands. The session ends with a live walk from produced records to a governed, queryable Iceberg table under one consistent policy. The takeaway: your governance boundary doesn't have to break where your streaming engine hands off to your lakehouse.
Retrieval Done Right: Context Engineering with VeloDB
🎤 Kevin Shen — Principal Product Marketing Manager, VeloDB
A hands-on look at retrieving data using best practices, with a live demo. Learn what to consider when chunking and embedding your raw data, and how to get the right context into VeloDB, a real-time analytics engine, so you can retrieve the correct context for your agent.
⚠️ Important: Building Access Required
This event is hosted at the AWS office. You must register at both links to attend:
✅ RSVP here on Luma
✅ Register for building access: AWS Event Registration