Systems | Development | Analytics | API | Testing

“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.

In this clip, Angie Jones explains how agentic AI goes beyond language prediction to actually take action — and what that means for the future of software development and testing.

Stop building “wishful thinking” forecasts and learn how to use funnel modeling to build targets your team actually believes in. Bec Henrich of Traction Complete shares how.

In case you missed it… we just launched the glow-up your dashboards have been waiting for. You can now: Prepare your data for better analysis later Build any metric you need with multiple dimensions Drill down to row-level data Break down Databoards and metrics by specific dimensions Oh, and you can try all of the features for free.

In high-stakes environments like professional poker and startup entrepreneurship, precision, timing, and strategy are everything. And nobody knows that better than David Daneshgar. In this episode of The AI Forecast, we’re joined by David Daneshgar, a World Series of Poker champion and now Co-founder and CEO of Whippy, a company using AI to transform how businesses communicate with their customers.

Sauce Labs Community Office Hours: Whose Error Is It, Anyway? Not all test errors mean something is broken on Sauce Labs—in fact, most can be fixed by the user. In this Sauce Labs Community Office Hours session, we’ll walk through the most common test errors flagged in Sauce Labs and explain how to avoid or resolve them. Whether you’re new to the platform or looking to sharpen your debugging skills, this session will help you run more reliable tests with fewer surprises.