What exactly is Generative AI?

Generative AI, is the latest buzzword emerging among organizations to enhance productivity and innovation.

Also referred as Generative AI, it expands the capabilities of AI by enabling applications to analyze existing data and create new data that can be in the form of text, images, audio, and video. It uses ML algorithms to train models to understand patterns and data.

In order to provide a better customer experience, teams are increasingly beginning to use the power of generative AI by integrating ML and AI throughout their technology stack.

As per the Generative AI market report, it is anticipated to soar from a USD 8.65 billion valuation in 2022 to a whopping USD 188.62 billion by 2032.

In this article, we explore the transformative impact of Generative AI on QA cost management.

How Does Generative AI empower QA teams?

For every team, there is always one ongoing challenge: how to ensure comprehensive testing while enhancing the quality assurance (QA) capabilities.

Traditional AI systems are programmed to perform specific tasks. Generative ai in software testing relies on models and algorithms that pick up patterns from vast amounts of datasets, and then generate new content and make new predictions.

The introduction of Generative AI in QA provides some innovative solutions to improve productivity, streamline QA procedures, and empower QA teams. Read for more about this blog :https://www.webomates.com/blog/artificial-intelligence/complete-guide-to-how-generative-ai-can-empower-qa-teams/