Systems | Development | Analytics | API | Testing

AI agents are learning to remember, and that changes everything. Memory is what allows AI agents to go beyond one-off answers. It helps them retain context, learn from past interactions, and make more thoughtful, personalized decisions over time. In today’s episode, our AI Product Strategist, Ayesha Amjad, breaks down the critical role of memory in agentic AI systems.

Knowing exactly where your data comes from is critical. With the Lineage view in Qlik Cloud Analytics, you get a clear, visual map of your data flow—making it easy to trace dependencies, troubleshoot issues, and update the right apps with confidence. A must-have for any serious Qlik developer or data team.

Watch how DreamFactory's MCP Server allows for natural language queries of your direct database with a high level of accuracy. Additionally, RBAC ensures data governance by making sure only the correct data is exposed to certain users based on their roles.

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?

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.

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.

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.

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

“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.