Systems | Development | Analytics | API | Testing

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.

After 23 years in machine learning and data science, Cao Hong has seen plenty of AI projects come and go. His measure of success is simple: did it create value for the business? Recorded at *EVOLVE26* Singapore, this episode of The AI Forecast brings Paul Muller together with Cao Hong, Principal Director of Data Apps at NCS, to explore how organizations can turn AI experimentation into measurable business impact.

Every new AI chat is another first day on the job. Rob Collie describes today’s general-purpose AI as a brilliant new hire who wakes up on their first day every time you start a new conversation. It may understand your industry, but your workflows and business context have to be explained all over again. In this episode of The AI Forecast, Paul Muller speaks with Rob Collie, founder and CEO of P3 Adaptive, former Microsoft product leader for Excel and Power BI, and author of “Fair Game: Bringing AI Into Reach for All Business” to explore why business context can make or break enterprise AI.