The rise of artificial intelligence (AI) in quality assurance (QA) has led to a huge shift in the industry. It’s common for people to think about AI as a force that does the work of people, only in a ...

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

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, ...

In today’s dynamic digital environment, startups face a dual challenge: expanding their business while safeguarding it against persistent cybersecurity risks. With limited resources and the pressure ...

When evaluating AI for testing, prioritize approaches that keep teams in control and maintain end-to-end testing connectivity ...

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, ...

In today's fast-paced world of software development, automation has become a cornerstone of testing, ensuring quality and efficiency amidst increasingly complex applications. With faster release ...

Forbes contributors publish independent expert analyses and insights. Craig S. Smith, Eye on AI host and former NYT writer, covers AI. Software development is a creative endeavor, but it can be filled ...

Next wave healthcare automation puts AI-driven workflow building in ops teams' hands, cutting IT dependency and operational costs.