Quality engineering must evolve faster than code; otherwise, agentic AI will move quickly, learn rapidly and fail expensively.

Testing places unique demands on AI. Errors carry real business risk, and fragile tests or slow updates can quickly erode trust in results. As a result, while momentum around AI in testing is strong, ...

What if the very process meant to ensure your AI applications work flawlessly is actually holding you back? Manual testing, once the backbone of quality assurance, is now a bottleneck in the ...

In today's fast-paced world of software development, automation has become a cornerstone of testing, ensuring quality and efficiency amidst increasingly complex applications. With faster release ...

Combine AI-generated tests with intelligent test selection to manage large regression suites and speed up feedback ...

In this interview, Sammi Sadler, Senior Applications Engineer at Instron, provides insights into how automation is being introduced for plastics testing and the opportunities this can bring. How would ...

Automation and artificial intelligence are often positioned as the antidote to clinician burnout and administrative overload. From ambient documentation to automated prior authorizations, the promise ...

Automated testing in game development is increasing in popularity, but still very much a niche discipline. It has proven ...

Artificial intelligence is no longer a futuristic abstraction—it’s an economic force reshaping how work gets done, how wealth is created, ...

If your team still treats content testing like a quarterly project they scramble to do after a campaign launches, it's time to evolve. Modern, successful, work-smarter-not-harder marketers don't test ...