Lead
Artificial intelligence (AI) and machine learning (ML) are no longer emerging trends in software development—they are already reshaping how applications are built, tested, and released. As development cycles accelerate and AI-generated code becomes commonplace, the role of testing has never been more critical. For IT leaders, the challenge is clear: how do you move fast with AI-driven development while keeping quality, performance, and risk firmly under control?

