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.

See Jet Analytics in Action Watch how Jet Analytics helps Microsoft Dynamics organizations connect to modern cloud platforms in hours — not months — while eliminating the fragmented data stack that slows teams down and drives up costs. This flyover demo shows how a unified, zero-access platform delivers the governed, AI-ready data foundation your organization needs, without rebuilding pipelines from scratch or starting over.

The 3 pillars of observability are breaking. For years, dev teams relied on Logs, Metrics, and Traces to know when something went wrong. But now? AI agents are writing, deploying, and changing code in real-time. When an AI hallucination pushes a bug to production, standard monitoring sees nothing wrong.To survive the AI era, we need a 4th Pillar of Observability. Watch to find out what it is and why the old way of monitoring just became obsolete.

Can AI actually save lives? In this video, see how Cloudera and Mercy Corps have partnered to put people—not just technology—at the heart of humanitarian aid. Through a two-and-a-half-year collaboration, we’ve worked side-by-side with analysts to map real-world workflows and co-create AI solutions that solve their most pressing daily challenges.

Software testing is struggling to keep pace with modern release cycles. More code, faster deployments, fragmented tools, and increasing quality demands are creating bottlenecks for QA, engineering, and DevOps teams. Discover how Perforce Autonomous Testing transforms the way teams validate software by bringing functional, performance, web, mobile, and desktop testing together through a unified AI-driven experience. Using natural language, teams can define testing intent, automate execution, orchestrate complex workflows, and gain actionable insights faster than ever before.

OCBC migrated thousands of microservices, batch jobs, and monolithic applications across multiple regions in just six hours with zero data loss. George Goh shares how six months of planning enabled flawless execution.

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