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, ...

AI can speed up testing, but if you trust it too much, you might ship bugs faster than ever — with no one clearly accountable.

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

Generative AI automation targets coding, debugging, documentation, and testing workflows in SDLC processes SAN JOSE, ...

As enterprises rethink their testing strategies, many teams are reviewing AI test automation tools that can help modernize QA workflows while keeping up with aggressive release schedules. These tools ...

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

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 ...

From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing. The integration of artificial ...

Platform will be used in modifications of all 67 software packages provided to medical and governmental industry customers by end of fiscal year 2026 TOKYO, Feb. 17, 2026 /PRNewswire/ -- Fujitsu ...

New platform helps non-technical founders and teams implement AI inside real business workflows without hiring ...