Why this track exists
AI is real-time or it isn’t useful. This track focuses on turning streams into features, decisions, and safe automation — with Apache Flink and event-driven runtimes.
Session highlights
- Google — Google-Scale Stream Processing with Just SQL — simplifying massive pipelines.
- Uber — Safe Streams at Scale — deployment safety for mission-critical Flink jobs.
- Confluent — Flink Changelog Modes — correctness and efficiency for stateful processing.
- Ververica — The Need for Speed — squeezing latency out of Flink.
- Salesforce — Insights from 300B Telemetry Trace Spans/Day with Flink — real-world scale and patterns.
- FiveOneFour & SteamNative - Building Real-Time Data Architectures for AI Chat - Practical patterns for natural-feeling AI conversations.
- StreamNative — From Events to Autonomy: An Event-Driven Runtime for Fully Autonomous Agents — bridging events and agents.
Who should attend
Flink practitioners, platform teams supporting AI/ML, and anyone standing up agentic systems.
Join us
Register for DSS SF 2025 (Sept 30) and bring your questions. We look forward to seeing you there!
