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, ...

Software quality assurance is facing a growing efficiency crisis. Traditional automation frameworks often collapse under constant maintenance and are plagued by test failures that delay critical ...

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 ...

Zapier reports that deterministic AI ensures consistent outcomes in workflows by embedding AI within structured rules, enhancing reliability while leveraging AI's interpretative strength.

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

Cybersecurity in 2026 looks very different from what it did only a few years ago. Attack surfaces are larger. Cloud environments are more complex. Applications update constantly. APIs, container ...

Hackers are using artificial intelligence to work faster and more efficiently. Ongoing pen testing enables small businesses, such as defense contractors, to remediate vulnerabilities proactively.

Ambient note-generation and encounter-focused summarization can meaningfully decrease pre-visit review and post-visit documentation time, enabling clinicians to reallocate effort toward direct patient ...