Systems | Development | Analytics | API | Testing

As organizations grow, so does API sprawl. Different teams deploy different gateways. Business units run isolated API stacks. Regions operate independently. The result? Fragmentation, duplicated effort, inconsistent governance, and reduced visibility. *In this video, we explain*: If you're managing APIs across multiple environments and want clarity, control, and scalability — this is where to start.

Learn why 95% of AI implementations fail and how "winners" succeed by solving narrow, high-value back-office problems with a trusted data lakehouse foundation. Discover the latest innovations in private cloud inferencing, data lineage via Octopai, and the new "AI in a Box" solution developed with Dell and NVIDIA. From managing 3-exabyte data lakes to reducing TCO on AWS, see how Cloudera is modernizing the open data lakehouse for the next era of enterprise intelligence..

APIs power everything, but the concepts behind them don't have to be confusing. We're launching a brand new series where Amanda Alcamo and Hugo Guerrero break down API and AI topics in plain language. Technical depth, business context, no fluff.#agenticai.

Yes, the team expected the implementation to take longer. Given the client’s secure environment, multiple pre-production setups, and many agile teams, the plan allowed for nine weeks or more. In reality, the implementation was completed in about six weeks, even with an unplanned pause, which exceeded expectations and highlighted how smoothly the rollout went — Mush Honda, Chief Quality Architect at Katalon.

As AI agents increasingly interact with APIs, design clarity and structured metadata matter more than ever. In this focused demo, Senior Solutions Engineer Mairtín Conneely take us through how to use Spectral rulesets in Swagger Studio to automatically enforce AI-ready API design standards across your OpenAPI definitions. This video covers:What “AI-ready” API design meansCreating custom Spectral rulesImporting governance rules into Swagger StudioRunning automated AI-readiness checksScaling API quality with governance automation.

Discover how Perforce P4 has evolved into a complete version control platform powering everything from AAA games to blockbuster VFX to chip design. Teams use it for more than version control—they get workflow control that empowers creative freedom, no matter how massive the project or tight the deadline. You'll see how the P4 platform connects your entire workflow.

Remember the ‘Prompt Engineer’ hype? It’s died down, but prompts are still the heart of AI. They shape an LLM’s personality and focus by guiding its vast knowledge. Curious how these system prompts fit into complex, multi-agent enterprise systems? Listen to the complete breakdown in *EP 19: Demystifying Agents*

Open lakehouse architecture is becoming the foundation for production AI and enterprise AI at scale. In this episode of The AI Forecast, Dipankar Mazumdar, Director of Developer Relations at Cloudera and co-author of the book “Engineering Lakehouse with Open Table Formats,” joins Paul Muller to explain why open lakehouse architecture is critical for moving from AI pilot to production AI.

Learn how to eliminate the gap between public and private clouds with a unified data fabric that offers one-hour time-to-value.. Discover how the acquisition of Octopai and Taikun enables automated data lineage and seamless Kubernetes deployment across any environment. From private AI inferencing to Spark 4 upgrades, see the future of enterprise data management and hybrid cloud portability.