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Confluent Current 2025: Building Intelligent Systems on Real-time Data

Jay Kreps · Oct 29, 2025 · 1h 48m · New Orleans

Summary

Jay Kreps opened Current 2025 in New Orleans arguing real-time, governed data is what makes AI agents trustworthy, launching Unified Stream Manager and a Real-Time Context Engine with Anthropic.

Key themes: Data platforms, Agents · AI-written summary from the published transcript

Where each highlight is said1:48:01
  1. 1:38

    Jay Kreps opened Current 2025 in New Orleans on building intelligent systems with real-time data

  2. 9:32

    Kreps argued that putting MCP in front of systems is not enough on its own, since MCP just exposes access to data

  3. 25:47

    Confluent introduced streaming agents that let LLMs act directly on continuously processed streaming data

  4. 31:03

    Confluent announced a partnership with Anthropic connecting Claude to live enterprise data through MCP

  5. 1:23:14

    Confluent launched Unified Stream Manager to manage streaming data consistently across the business

  6. 1:29:41

    A live demo showed the new Real-Time Context Engine serving data to AI systems through a fully managed MCP server

  7. 1:36:39

    Tableflow was shown converting streaming data into open table formats with a single push-button step

Announced

3 available the same day
GAConfluent IntelligenceReal-time, trustworthy data platform for production AI
GATableflow Delta Lake and Unity Catalog supportNative Databricks integration
GAConfluent Hub 2.0Redesigned connector marketplace
PreviewReal-Time Context EngineEarly access; serves enriched data to AI agents via MCP
PreviewStreaming Agents Phase 2Agent definition, observability, and debugging
AnnouncedUnified Stream ManagerSingle control point for streaming data across the business
PreviewQueues for Kafka (KIP-932)Dynamic scaling for dedicated clusters
PreviewmTLS AuthenticationLimited availability for enterprise clusters in December

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