Systems | Development | Analytics | API | Testing

In this fireside chat, Rupernita Sahoo explore the fundamental shift taking place in software quality assurance. Executive teams no longer want traditional defect counts - they want QA leaders to quantify business risk, security posture, and compliance. However, many QA organizations, legacy tools, and success metrics are still anchored in the past. This fireside chat explores how QA leaders can navigate this transition while maintaining strong operational delivery and driving greater business impact.

Watch Astera ReportMiner's Text Converter object automatically pick the right OCR engine for a creased fax, a skewed bill of lading, and a handwritten log, then turn each one into structured, exportable data. This demo walks through intelligent character recognition (ICR) in practice: a business receiving a mix of degraded scanned documents that would break a single fixed OCR engine.

AI literacy across 60,000 people starts with the C-suite. In this clip from podcast, Bethany Miles, Chief AI Officer at Advantage Solutions, shares how she built enterprise-wide AI fluency, starting with 10+ hours of hands-on executive training and a CEO coding workshop. What you'll learn in the full episode:→ Why AI literacy has to start at the top before it can scale anywhere else→ How Advantage Solutions redesigned broken processes before automating them→ What to measure beyond adoption (service excellence and time-to-complete)

CoCo Desktop - Built Renxu Hu Renxu built the AI feature behind Snowflake’s fastest-growing habit: building entire data workflows at lightning speed. ️

AI is reshaping how software gets built and tested faster than most QA teams can keep pace, yet teams rarely get to influence what a vendor ships before the decision is made. That's why we created Tricentis Labs. Tricentis Labs is where agentic-AI ideas are built in public, giving quality engineering teams early access to experiments and a say in which ones become real products. In this announcement, Ryan Yackel and David Colwell walk through how Labs works and the first three experiments open to customers and partners today.

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.