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From Continuous to Autonomous Testing with AI

Published by Cognizant

This document outlines how AI can elevate continuous testing to autonomous testing by automating quality assurance processes. It describes how machine learning (ML) can eliminate manual intervention, enabling AI to manage quality gates, identify and resolve defects, and optimize tool orchestration. With AI, testing becomes more efficient, leading to faster software releases, reduced costs, and improved accuracy. The document emphasizes the need for businesses to invest in AI technology and training to fully leverage the benefits of autonomous, zero-touch testing.

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Related Categories Artificial Intelligence, Deep Learning, AI Ethics, Unsupervised Learning, Reinforcement Learning, ML Algorithms, Data Preprocessing, Computer Vision, Healthcare

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