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, ...

Testing APIs and applications was challenging in the early devops days. As teams sought to advance their CI/CD pipelines and support continuous deployment, test automation platforms gained popularity, ...

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

The ongoing AI boom is transforming the online user experience (UX) at a rapid pace, and the development of automation technology is redefining usability testing. The global AI-enabled testing market ...

AI is becoming a strategic differentiator in industrial automation; those who learn to apply it effectively will shape the next generation of industrial projects.

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

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

With the endless AI buzz dominating every technology headline and press release, it’s easy to forget the origins of “computer intelligence”; namely the likes of expert systems, macros and the “A” word ...