Systems | Development | Analytics | API | Testing

Stuck waiting on hardware procurement cycles while critical workloads sit in "ACCEPTED" state? In this demo, see how Cloudera’s Unified Cloud Experience solves on-prem resource crunches using secure Cloud Bursting. Follow along with a real-world financial fraud detection pipeline as it seamlessly scales out to AWS compute—without migrating sensitive on-prem HDFS datasets, rewriting Spark code, or compromising Ranger security and Atlas lineage.

One developer burned through 300 million AI tokens in a single week. The payoff was far less impressive. For Todd Trevillion, it's a striking example of what can happen when AI adoption outpaces the controls needed to manage it. And with autonomous AI agents beginning to make decisions on behalf of businesses, the stakes are getting higher.

Debugging slow SQL queries shouldn't mean drowning in thousands of lines of JSON. In this video, we test the new Impala AI Query Profile Analyzer natively in the web UI. Watch how generative AI investigates query execution, tests multiple performance hypotheses, and finds the exact 1-line SQL fix to eliminate extreme data skew across 27 million rows.

You can talk an AI model into breaking its own rules. Sometimes, all it takes is knowing what to say. Dr. Peter Garraghan has spent years studying how attackers exploit AI systems, and some of his findings are surprisingly human. AI models can be manipulated through language, using techniques that resemble the social engineering tactics cybersecurity professionals have dealt with for decades.

One developer burned through 300 million AI tokens in a single week. The payoff was far less impressive. For Todd Trevillion, it's a striking example of what can happen when AI adoption outpaces the controls needed to manage it. And with autonomous AI agents beginning to make decisions on behalf of businesses, the stakes are getting higher.

Can AI agents actually fix production Kubernetes clusters, or are we just trapped in flashy AI marketing hype? In this Cloud Native Budapest session at Cloudera, Yurii Palamarchuk (Cloudera) breaks down why most AI demos fail in production, and Péter Megyesi shares how autonomous AI agents (Claude Code, kubectl) resolved a complex 6-year-old Ceph & Kubernetes outage.

See how Cloudera Impala's Delegated Admin for SQL-Based Access Management helps enterprises decentralize access management, reduce IT bottlenecks, and streamline data access administration. This demo shows how delegated administration enables authorized teams to manage access through SQL, reducing reliance on centralized IT administrators and manual UI-based processes.

The AI worked in the sandbox. Then it met the real world. David Hardoon learned that lesson during an ATM optimization project designed to improve cash-delivery routes. Once deployed, the system collided with traffic and unpredictable schedules, which are the realities that face the people doing the work. Recorded at *EVOLVE26* Singapore, this episode of The AI Forecast brings Paul Muller together with David Hardoon, Head of Advanced AI at Accenture, to explore why the human side of AI transformation can determine whether promising technology ever delivers value in production.

Is hands-off AI adoption turning your business into the "Wild West?" Handing out credit cards for unlimited tokens without proper guard rails is a recipe for failure. Discover why establishing best practices and security rails is essential as AI agents transform the enterprise.

Your AI agent has credentials. Now, what happens when it goes off script? An agent can take action and change course before a traditional security review even begins. For Alex Bovee, identity is only the beginning of the security conversation. In this episode of The AI Forecast, Paul Muller sits down with Alex Bovee, co-founder and CEO of C1 and longtime cybersecurity and identity leader, to explore how autonomous AI agents are changing enterprise security.

Retail merchandising teams spend countess manual hours evaluating new product submissions—crunching revenue models, analyzing sales cannibalization, and writing supplier rejection emails. Powered by *Cloudera AI agents* , this video demonstrates how retailers can transform that tedious, bottlenecked onboarding workflow into a seamless, automated process. As soon as a new product is submitted, autonomous background agents map it against existing inventory, evaluate growth risks, assess market saturation, and highlight specific low-performing SKUs to replace.

An AI project can deliver a great prediction and still fail the business. Rajesh Kelvalkar has seen it happen firsthand. In one mining project, the model worked, but the team discovered that the downstream business process wasn’t configured to act consistently on its recommendations. The technology had done its job, but the transformation hadn’t. Recorded at EVOLVE26 Singapore, this episode of The AI Forecast brings Paul Muller together with Rajesh Kelvalkar, Senior Advisor at Tech Data APJ, to explore what more than 20 years of transformation work has taught him about putting AI into practice.