Systems | Development | Analytics | API | Testing

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?

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.

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.

“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.