Systems | Development | Analytics | API | Testing

AI agents are quickly becoming one of the most powerful tools in the enterprise AI toolkit. According to Cloudera’s latest Agentic AI Survey, 96% of enterprises plan to expand their use of AI agents. But what’s driving this surge, and how can organizations turn hype into results? In this episode of The AI Forecast, host Paul Muller sits down with Abhas Ricky, Chief Strategy Officer at Cloudera, to explore the real momentum behind agentic AI. From healthcare to telecom, Abhas unpacks how AI agents are already transforming operations with speed, intelligence, and autonomy.

Let AI do the dishes. Or at least your Kafka ops. Introducing the family of Lenses AI Agents. Meet our first: the SRE Agent - built to triage failing consumers in seconds. One click. Root cause found.

The Confluent Q2 ’25 Launch brings together the best of batch and stream processing. We’re introducing Flink snapshot queries (Early Access), Tableflow support for Delta Lake tables (Open Preview), and more! Our quarterly launches provide a single resource to learn about the new features we’re bringing to Confluent Cloud, our cloud-native data streaming platform.

In this episode, Dana Gardner, Principal Analyst at Interarbor Solutions is joined by Nick Winfrey, Vice President of Data Science and Data Strategy at The Walt Disney Company. They explore Disney's extensive use of AI, automation, and data science to optimize advertising and enhance fan experiences. The conversation also delves into the importance of diversity in data teams, the crucial role of AI and ML in media and entertainment, and how Disney leverages audience behavior and loyalty across different platforms.

If you're curious about what AI agents truly are and how they work in real-world scenarios, this video is for you. In this first episode, our AI Product Specialist Hasham Qazi takes you through what LLM-driven AI agents really are. He breaks down the key components, shows real-world examples, and explains exactly how they work in practice. Ready to build your own autonomous AI agents in just a few hours using a visual drag and drop builder that works with your enterprise data?

“Plan my trip.”“Done. And booked.” In this clip from Test Case Scenario, Angie Jones explains how MCP (Model Context Protocol) enables agentic AI to act like a real assistant—connecting to multiple APIs, handling complex tasks, and taking care of the details so you don’t have to. Watch the full episode to learn how this shifts the future of testing, dev workflows, and automation.

Is your data clean and is it structured for reporting? If not, you're not ready to start conversion modeling for realistic forecasts yet.

They say dashboards are dead. They say BI is for dinosaurs. They say AI is going to change everything. And they're right. The way applications work, the way people interact with data, it's all getting rewritten. Now, imagine if some of the biggest names in data and analytics over the last twenty five years came together to build something completely new, something designed for this AI first world. Wouldn't that be something? What if we went to the people who pioneered the best and most flexible visualization controls ever created? The ones that powered modern web app and experiences.

“What do I do with the other 7 hours and 55 minutes of my day?” In this short clip from Test Case Scenario, Angie Jones shares how agentic AI is unlocking next-level productivity for automation engineers. After spinning up a full Selenium testing framework in just minutes using an MCP, Angie found herself with a rare gift: time. And with that time? All the innovation and long-neglected backlog work that once felt out of reach suddenly becomes possible.