Systems | Development | Analytics | API | Testing

In this video, Cloudera’s Dipankar demonstrates how to build an AI agent in Cloudera Agent Studio powered by an open-source Apache Iceberg MCP Server. As a real-world use case, the agent monitors Apache Iceberg table health by analyzing metadata for issues such as small files, partition skew, snapshot history, and other operational signals. Subscribe to stay ahead of the curve with the latest in data strategy, open architectures, and enterprise AI innovations.

Learn how AI agents embedded in Oracle Fusion are changing the testing landscape, and how Tricentis AI Workspace helps teams validate quarterly releases faster and with more confidence.

Your testing strategy was built for a world before AI wrote code. That world is gone. AI is now generating code, reviewing pull requests, writing tests, and analyzing defects, faster than any team can validate it manually. In this session, Perforce CTO leaders Anjali Arora and Rod Cope sit down with VP of Product Steven Feloney to break down why traditional test automation can't keep pace, and what comes next.

Join the IPLM product team as they review important Q2 product updates including protected properties, filtering, shopping cart, and Pi Release dry run. Includes a demo of the new Perforce IPLM "Ask AI" capability utilizing our MCP and RAG servers.