5 ways QA will evaluate the impact of new generative AI testing tools
The first wave of generative AI-augmented software testing and automation tools has arrived. Here’s how QA and devops teams will measure their impact.
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The first wave of generative AI-augmented software testing and automation tools has arrived. Here’s how QA and devops teams will measure their impact.
Reporting by Helen Popkin, Aayushi Pratap and Nina Wolpow The Covid-19 pandemic was devastating for many industries, but it only accelerated the use of artificial intelligence across the U.S. economy. Amid the crisis, companies scrambled to create new services for remote workers and students, beef up online shopping and dining options, make customer call centers more efficient and speed development of important new drugs. Even as applications of machine learning and perception platforms become commonplace, a thick layer of hype and fuzzy jargon clings to AI-enabled software.That makes it to...