According to a National Institute of Standards and Technology (NIST) report, software bugs cost around $59.5 billion/year. Thus by leveraging advanced algorithms, machine learning, and natural language processing, AI-driven testing techniques can empower organizations to streamline their testing processes, minimize human error, and deliver software products that meet the highest quality standards.
Let’s explore more about AI-powered QA testing in this infographic:
The post AI-Powered QA Testing | Revolutionizing Software Quality Assurance first appeared on TestingXperts.
