Real-time data streaming for AI workloads with Confluent on AWS

This article explains how Confluent's real-time data streaming capabilities on AWS enable AI workloads to operate on current data, particularly for agentic AI systems. Following IBM's acquisition of Confluent, AWS customers gain integrated data streaming for AI inference.

• Real-time data improves AI model accuracy for fraud detection, supply chain, dynamic pricing
• Confluent Intelligence provides Streaming Agents responding to live events with current context
• Stream Governance ensures data quality, lineage, and compliance for AI workflows
• Manufacturing, retail, automotive use Confluent for real-time operational data processing
• Fraud detection example: transactions enriched with customer context and vector search via Amazon Bedrock
• IBM integrations include watsonx.data, MQ, webMethods for hybrid AI workflows
• Confluent Intelligence supports Agent2Agent protocol, anomaly detection, RAG workflows
• Deploy from AWS Marketplace with built-in AWS service integrations

IBM's Confluent acquisition enables AWS customers to build AI systems with real-time, governed data context across industries.