What we announced in streaming AI at Next ‘26 | Endigest
Google Cloud
|Data EngineeringTags:Streaming
Google Cloud Next
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Google Cloud announces new streaming AI capabilities at Next '26 to address real-time context challenges in agentic AI systems.
- •Pub/Sub AI Inference, Pub/Sub Bigtable subscriptions, and BigQuery continuous queries now available to reduce context lag
- •Unified streaming platform includes Pub/Sub, Dataflow, BigQuery, Bigtable, and Kafka for fully managed data ingestion and processing
- •Model Context Protocol (MCP) support enables agents to directly manage Pub/Sub, Kafka, Bigtable, and BigQuery resources
- •Event-driven autonomous agents can be deployed within Dataflow pipelines for massive scalability with hundreds of concurrent agent sessions
- •Dataflow Unified embeddings enable real-time vector generation and storage in Cloud Spanner and AlloyDB for semantic search and RAG
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