The pressure is on for IT leaders to integrate AI/ML and generative AI into a variety of business processes, including software delivery, application modernization, and cloud migration, among others. If they don’t make moves with AI, 40% of executives believe their organizations will not remain economically viable a decade from now.

In an evolving, dynamic, highly integrated IT landscape, where any change can compromise quality, leveraging AI for quality assurance initiatives can give your projects an edge.

Read this eBook to learn:

• How an intelligent approach to AI-driven quality can help you deliver better software faster
• Why AI won’t replace software testers– but it can act as an augmenter to human productivity
• Four key use cases for AI in software testing that your organization can act on now