Systems | Development | Analytics | API | Testing

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.