Discover the powerful new IDE-like Studio in Lenses 6.2. Learn how to manage your Kafka clusters, discover topics across multiple environments, and perform side-by-side comparisons of dev and staging data. We also dive into the new ways to interact with streaming data, including the CLI, VS Code plugin, and the new MCP server for AI agents and chatbots. Whether you're a developer troubleshooting schema mismatches or a data engineer managing complex Kafka estates, the new Lenses Studio provides the tools you need to stay in context and work efficiently.

Is your AI agent one misconfigured server away from a production data leak? In this deep dive, Jeremy from Lenses explores the critical security architecture of the Model Context Protocol (MCP) and how it’s evolving to protect the future of Agentic Engineering.

Most AI failures aren’t model problems. They’re data pipeline problems. Disconnected systems. Inconsistent preparation. No governance at query time. This short animation walks through the 5 Pillars of AI-Ready Data and shows how data needs to move through a structured pipeline before it can power reliable AI. 5 Pillars of AI-Ready Data Access → Prep → Context → Governance → Monitoring Five stages. One connected flow.

As organizations race to capitalize on AI, the foundation of success lies in trusted data and scalable infrastructure. In this video, we explore how Cloudera AI, powered by NVIDIA, delivers an end-to-end platform that enables organizations to build, test, and deploy high-performance AI solutions. From the Cloudera hybrid data lake to production-ready AI, discover how Cloudera is helping enterprises accelerate their data-driven future.

Hey, did you know Cloudera is actively hiring to build the next phase of enterprise AI? While much of the industry is focused on experimentation, Cloudera is investing in execution, scaling real-world AI with innovations like Cloudera Agent Studio and managing data at exabyte scale. As we continue to bring AI to data anywhere, we’re growing our global team to turn AI from pilot to production.

Varun Jasti of AWS explains why real-time data—not better models—is the true unlock for enterprise AI. Most enterprises don't need to build AI models from scratch—they need to put AI to work. That requires a data foundation that is real-time, reliable, and ready to serve intelligent systems at scale.

Most companies aren't trying to build AI—they're trying to use it. Varun Jasti of AWS breaks down why accessible data, not model sophistication, determines whether AI creates real business value.

Hey, did you know? 62% of government executives say data privacy and security concerns are blocking AI adoption. That’s why Cloudera’s Hilary Billingslea shares why private AI is becoming essential for defense agencies in Cyber Defense Magazine’s 2026 RSA edition.