Simplify Real-Time Context Engineering for Snowflake Intelligence With Confluent

Confluent Intelligence enhances Snowflake's Cortex AI agents by providing real-time, trustworthy data to deliver accurate, contextually aware insights. Built on Apache Kafka and Apache Flink, Confluent's suite facilitates continuous streaming data capture, real-time processing, and context delivery to AI systems through its Model Context Protocol (MCP). This integration allows AI agents to operate with up-to-the-minute business context, improving decision-making and responsiveness to dynamic events. The architecture includes Streaming Agents for event-driven data processing and a Real-Time Context Engine that materializes live data for immediate consumption by AI applications. By bridging real-time events with analytical insights, Confluent enables enterprises to create context-rich, intelligent AI systems that can proactively respond to business needs, such as optimizing supply chain flows or managing operational triggers, thereby enhancing the overall functionality and reliability of AI-driven solutions.