An overview of how GenAI empowers Cloudera customers to drive impactful business outcomes, and how Cloudera AI makes it easier for organizations to deploy and scale AI successfully. We dive into powerful tools like Accelerators for Machine Learning Projects (AMPs), Cloudera AI Inference service, AI Assistants, and end-to-end GenAI platforms, all designed to accelerate your AI journey.

Still waiting for AI to integrate into workflows seamlessly? You’re not alone. AI still feels stuck in "fantasy land" for many teams, but progress is getting faster. 2025 could be the year we finally make AI’s potential a reality—but only if we take action now. Catch the conversation on the latest episode of Test Case Scenario to explore the real-world progress of AI and what it will take to move beyond the hype.

Learn how to build and manage robust AI infrastructure using Kong AI Gateway for efficient GenAI application development and deployment. From AI Gateway essentials to advanced management techniques, you'll learn to optimize your applications, implement governance and security measures, and adapt to various deployment environments.

Technology in the enterprise is evolving at a record pace, making it increasingly difficult to keep up with the latest "tech du jour." AI has only accelerated this evolution, bringing about a data reckoning—especially as more organizations adopt hybrid models to manage their data. Both users and organizations are seeking data platforms that can connect the dots of their data today while adapting to tomorrow's demands. This shift underscores the growing demand for open standards. But what does that kind of platform experience look like today?

“AI is changing the game in software testing – but are we ready?” In the first episode of Test Talks, our speakers at Katalon explore the transformative impact of AI on testing, breaking down challenges like integrating AI with legacy systems, data privacy concerns, and how to scale AI solutions within enterprises. Join us on December 7th for a deep dive into how testing teams are navigating this AI-driven revolution. Don’t miss it!

Lewis Prescott helps us answer this question. But... we want to hear yours too! Do you use AI for your API testing sessions?