Analytical AI ranks risk, flags anomalies and analyzes test failures for automation stability and defect triage, while GenAI ...

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, ...

Three experts provide real-life use cases demonstrating AI and automation in finance and offer advice on costs, employee ...

With cloud use increasing, businesses are moving more work there. Security teams are adopting better testing frameworks like XBOW to manage risk, as traditional approaches don't work well in today's ...

As AI transforms hardware and network infrastructures, one small thing at a time, an equally profound change is taking place in test and measurement ...

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 ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the innovative and clever use of ...

Using AI to test complexity in modern banking platformsBy Stephen Platten, Principal Consultant, Inspired TestingIssued by Inspired TestingJohannesburg, 24 Mar 2026 Stephen Platten, Principal ...

Autonomous Multi‑Agent Scenario Generation: Leveraging specialized AI evaluators, the system generates diverse, context‑rich test scenarios automatically, enabling wide coverage of conversational ...

Cloud-based virtualization, real-time data synchronization, and scalable AI/ML deployment can modernize the testing landscape ...