Confluent is enhancing its data streaming platform with new features aimed at improving artificial intelligence (AI) systems, emphasizing that AI issues are fundamentally data problems. The updates focus on providing real-time, trustworthy data through products like Confluent Intelligence and Streaming Agents, which integrate Apache Kafka and Flink to unify data processing and AI reasoning. These innovations include a Real-Time Context Engine for delivering structured data to AI applications, Python User-Defined Functions for enhanced stream processing, and improved observability tools for debugging and optimizing Apache Flink jobs. Additionally, Confluent has introduced features such as Private Kafka Migrations for secure data replication, a Connector Migration Utility for transitioning to fully managed connectors, and Queues for Kafka to enhance scalability. The company has also announced support for Tableflow on Microsoft Azure and welcomed the Airy leadership team to boost real-time AI capabilities. Through these advancements, Confluent aims to streamline infrastructure management, enhance AI application performance, and ensure security and compliance across its platform.