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

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

Fintech operates under constant regulatory pressure. At the same time, competitive pressure demands speed, innovation, and intelligent automation. Risk and compliance systems sit at the...Read More ...

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 ...

Identify sources of unnecessary cognitive load and apply strategies to focus on meaningful analysis and exploration.

In healthcare software, quality is inseparable from compliance. A feature working as designed is not enough. Every workflow, integration, and data exchange must protect Protected...Read More The post ...