Why enterprises are rebuilding quality assurance with AI-powered automation
India, May 27 -- Enterprise software delivery doesn't work in predictable cycles anymore. Quality Assurance (QA) models built for slower release cycles are struggling to keep pace with modern enterprise systems powered by microservices, APIs, cloud infrastructure, and continuously evolving integrations.
On top of this, customers expect seamless digital experiences, leadership teams want faster software releases, and regulators presume traceability across increasingly complex systems. Naturally, the pressure to ship continuously without compromising reliability is affecting QA teams.
They're compelled to validate larger volumes of software within increasingly compressed release windows and using disconnected tools, which, in turn, create...
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