This year’s conference is uniquely shaped by IBM’s $11 billion acquisition of Confluent, which officially closed on March 17, 2026, to feed real-time, trusted data into enterprise AI models
Core Technological & AI Themes
The programming across the 2026 events emphasizes that traditional batch processing and data warehouses are too slow for probabilistic AI models, which require real-time context to remain statistically accurate and safe.
- Real-Time Context Engineering: The main keynotes emphasize building data pipelines that deliver real-time operational context to AI systems. This process ensures AI agents don’t require broad, unsafe access to raw company directories.
- Agentic AI built on Apache Flink: Sessions dive deeply into utilizing Apache Flink for unified stream and batch processing, enabling autonomous AI agents to make decisions and execute actions directly on live event streams.
- Tableflow Innovations: Confluent is highlighting its Tableflow functionality, which effortlessly materializes streaming topics into cloud object storage tables using formats like Apache Iceberg and Delta, bridging the gap between operational streaming and analytical data lakes.
- Expanding Community Scope: While Apache Kafka remains the fundamental core, the community has explicitly expanded to include AI engineers and application developers who design real-time intelligent software.