At the top of every CIO’s mind is how to drive innovation at speed, increase levels of productivity, deliver superior and highly scalable digital products and services that increase customer satisfaction and save costs – all at the same time. Unfortunately, without modernizing your testing with intelligent automation and treating testing as a strategic component of your digital success, you won’t be as competitive, and you can’t transform as quickly.

Artificial intelligence (AI), machine learning (ML), and generative AI technologies are being adopted by businesses today in QA and test automation to deliver more resilience, agility, speed, and business growth. According to a Deloitte survey, more than half (55%) of CEOs globally are experimenting with generative AI to improve customer experiences and retention, drive revenue growth, and optimize costs.

Research from McKinsey shows that generative AI’s impact on productivity could add trillions of dollars in value to the global economy, anywhere from 2.6 trillion to 4.4 trillion, in the 63 use cases analyzed in the study. When adding the impact of infusing generative AI into software that is used beyond those use cases, the number nearly doubles. The primary areas where AI could deliver the most value (75%) are these four key groups: marketing and sales, customer operations, R&D, and software development.