“Quality is more important than quantity. One home run is much better than two doubles.” – Steve Jobs In the world of software testing, this quote couldn’t be more relevant. If you’re a manual tester, you know the pressure to deliver high-quality results, often within tight deadlines and limited resources. Yet, with today’s fast-paced software development cycles, meeting these demands through manual testing alone is increasingly challenging.

They say with great power comes great responsibility. As GenAI and machine learning technologies gain prominence, the need for AI governance – structures and policies that ensure AI is used ethically, responsibly, and transparently – has become critical to long-term success. The stakes are high, and in today’s tech ecosystem, the absence of responsible AI governance could be a company’s undoing.