Systems | Development | Analytics | API | Testing

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.

Ken Ahrens explains the easy steps to have a successful stress or load test. Using Speedscale's mock environments, you are easily able to create a safe environment to test your code. Try it today!

Bringing our video series to a close with a full run through of how to use all of the components of Konnect to a build your API Platform. Mike and Alex have posted a series of videos breaking down all of the individual API Platform-relevant components of Konnect, and how they can be used to satisfy key API Platform requirements. Now, they’re bringing it all together! In this livestream, join Mike and Alex to discuss API Platform needs from day zero through day two and–even better–watch Mike build it all live.

“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.

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.

Not all AI is agentic. Steffen Hoellinger, Airy’s CEO, breaks down the difference between agentic AI and generative AI, highlighting how AI agents utilize streaming data to reason and act.

In this demo, you will see how Astera ReportMiner can ingest data from any source, extract it from any format, process it, and deliver it to your preferred destinations with complete end-to-end automation. This removes the need for manual effort, improves data accuracy, and gives you full control over your document processing workflows. From invoices and purchase orders to scanned PDFs and complex reports, ReportMiner helps you automate the entire document lifecycle. It handles everything from extraction and validation to integration, all within a unified and no-code platform.

Jay Mishra, our Chief Product and Technology Officer, explains why quality data is the true driving force behind successful AI agents. He also shares how Astera AI Agent Builder seamlessly connects to both internal and external data sources, ensuring that your AI agents are data-driven and ready to deliver powerful results.