A simple rule of thumb: In general, AI is best reserved for well-defined, repetitive tasks. This includes anything that ...

AI-powered test automation is redefining software reliability by reducing flaky tests, expanding coverage, and accelerating ...

CIOs can support their teams in navigating seismic change as AI reshapes workflows and difficulties from past adoption waves ...

Recognized highest for “Ability to Execute.” Tricentis strengthens industry presence with new AI breakthroughs Tricentis, a global leader in AI-augmented software quality, today announced that it has ...

NVIDIA is the first to release an open reasoning VLA model designed to tackle long-tail autonomous driving challenges; NVIDIA ...

With AI Software Integrity Builder, Keysight empowers engineering teams to move from fragmented testing to a unified AI ...

AI tools may slow down experienced developers instead of boosting productivity, according to a 2025 experiment.

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 ...

As artificial intelligence, automation and machine learning rapidly transform software development, one question rises to the top for quality assurance professionals: What role will human testers play ...

Every CEO I meet thinks their AI strategy is simple: implement tools, boost productivity, and stay competitive. The reality ...