Systems | Development | Analytics | API | Testing

This session looks at how agentic automation can take over web and mobile regression. We start with the regression tax: the slow 3-day cycle, the manual triage, and the flaky reruns nobody trusts. We then cover why scripted suites hit a wall and make the case for handing regression to agents instead. The core of the talk is how it actually works, with Appium MCP driving mobile and Playwright MCP driving web, interpreting intent rather than hard-coded steps and adapting when the UI shifts.

When Spring Boot goes end of life, most teams assume their LTS coverage has them protected. It doesn't — at least not the way they think. The real risk isn't in the Spring Boot or Spring Framework version on the label. It's in the 40+ libraries the Bill of Materials has quietly pinned underneath it, frozen at EOL while CVE research keeps moving.

How is AI changing software development — and what happens when AI-generated code meets real-world data? In this clip from The Innovation Blueprint Podcast, Roman Havrylyuk from ORIL and Bob Frady, Co-Founder of PropertyLens, disscuss how AI is changing the way teams write code, work with data, and make business decisions — and why better AI capabilities don’t eliminate the need for strong engineering and data foundations.

Meet Lineos, Certent and Simba, three focused technology brands from insightsoftware built to help finance, HR and technology leaders navigate an increasingly complex, AI-driven world. We’ve built our portfolio around a simple idea: specialized challenges deserve specialized solutions. “The launch of Lineos, Certent, and Simba represents the next stage of our transformation: focused brands with the domain expertise and innovation required to solve the distinct challenges facing CFOs, HR leaders and CTOs.”— Chris Jurasek, CEO, insightsoftware.

Can you trust AI agents to run your tests without losing control of your release process? In this video, you’ll learn how, with SmartBear BearQ’s agentic QA system, the answer is yes, because you decide exactly how much autonomy the agents get. This enables you to adapt QA to fast-moving AI codebases, all with human oversight.