Systems | Development | Analytics | API | Testing

AI ambition is everywhere. The models are ready, the investment is flowing, yet the outcomes aren’t keeping up. Cloudera’s Data Readiness Index 2026 survey identifies a widening gap between what enterprises want from AI and what they can actually deliver. In this episode of The AI Forecast, Paul Muller sits down with Cloudera CTO Sergio Gago to bring a practitioner’s lens to the problem, drawing on experience across the full spectrum from startups to global enterprises.

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.