Systems | Development | Analytics | API | Testing

Struggling to get clear, reproducible insights from petabytes of data? Join Charu Anchlia, Principal Engineer II at Cloudera, to see how Cloudera Agent Studio brings business users and tech analysts together under one simple interface. See how multi-agent orchestration—using specialized SQL and coding agents—can solve complex data analysis challenges, generate real-time visualizations, and seamlessly transform LLM outputs into repeatable Airflow pipelines.

Hey, did you know? The fastest way to AI might not be adding more tools. It might be getting more value from the data you already have. See how Cloudera helps reduce data costs, unify governance, and make enterprise data AI-ready without disrupting operations.

For decades, network teams have been forced to choose between speed and stability. AI may finally be changing that equation. In this episode of The AI Forecast, Paul Muller sits down with John Capobianco, Head of AI and Developer Relations at Itential and author of “Automate Your Network,” to explore how AI is reshaping the future of network operations. Drawing on decades of experience in network engineering, John explains why network automation has struggled to gain traction and how AI, agents, and Model Context Protocol (MCP) could finally break the bottleneck.

The AI worker shakeup is here, and the scale is monumental. While tech giants chase grand singular visions, real employees are facing a massive displacement crisis that traditional tribunals and narrow regulations aren't equipped to handle. Are we moving too fast to protect our workforce?

Meetup Date - 30th May 2026 10:30AM to 2PM Where - Cloudera Bangalore Office Subscribe to stay ahead of the curve with the latest in data strategy, open architectures, and enterprise AI innovations.

AI governance is already struggling to keep pace. Add quantum computing and space infrastructure, and the challenge becomes exponentially harder. In this episode of The AI Forecast, Paul Muller sits down with technology governance specialist and researcher Preetha Bedi to explore the growing convergence between AI, space, and quantum technologies—and why this nexus is creating entirely new categories of systemic risk.

Ever wonder why so many enterprise AI projects never make it past the pilot stage? It’s not the AI—it’s the foundation. In this video, we break down why rushing into complex models without fixing inconsistent data, fragile pipelines, and afterthought governance is a recipe for failure. Fix the basics first!

Are you actually building an open data platform, or are you just using open source file formats inside a new type of vendor lock-in? Many organizations assume that migrating to Apache Iceberg or Parquet automatically makes their data architecture open. However, true architectural freedom requires a strategy that spans across your entire data estate—not just the storage layer.

As organizations rush to scale AI, many are learning that better models can’t compensate for weak data foundations. AI hype is everywhere, but operational readiness still isn’t. In this episode of The AI Forecast, Paul Muller sits down with Ravit Jain, founder of The Ravit Show and one of the leading voices in the global data and AI community, to explore the trends shaping the future of enterprise AI.

Unlock true data interoperability with Cloudera Data Sharing, powered by the Iceberg REST Catalog. Discover how it enables frictionless data collaboration across popular platforms and engines, eliminating costly data movement and replication. In this session, we'll demonstrate in action.