AI-augmented, software-testing tools provide capabilities for advanced, self-optimizing and adaptive automated testing through the use of AI technologies, such as machine learning (ML), self-healing heuristics or computer vision. They assist humans in their testing efforts and reduce the need for human intervention in the following areas: Test case and test data generation Test suite optimization and coverage detection Test efficacy and robustness Test analysis and defect prediction Test effort estimation and decision making AI-augmented testing tools streamline, accelerate and improve the test workflow, as models can be retrained based on the data collected from the activities they perform — thereby enhancing human productivity.
Gartner defines the digital accessibility market as the set of vendors that provide platforms with tools and professional services designed to ensure digital products and content are compatible with assistive technology for people with disabilities. Digital accessibility platforms are primarily cloud-based SaaS offerings. The core objective of a digital accessibility platform is to make digital products and content more inclusive, ensuring that people with disabilities have equal access to digital content. By leveraging such platforms, organizations can not only avoid legal, financial and brand risks, but also reach a wider audience, improve user satisfaction and demonstrate a commitment to social responsibility.