The pace of software delivery has increased dramatically over the past decade. Agile development, DevOps, and continuous delivery have shortened release cycles from months to weeks, or even days. In this fast-moving environment, traditional testing methods often struggle to keep up, leading to higher costs, missed defects, and delayed releases. Artificial Intelligence (AI) is emerging as a powerful enabler in this space. By applying machine learning, natural language processing, and predictive analytics, AI testing is transforming how organizations approach software quality. What is AI Testing? AI testing refers to the use of artificial intelligence techniques to improve different aspects of the software testing lifecycle. Instead of relying only on static, rule-based scripts, AI testing leverages algorithms that learn from data, adapt to application changes, and optimize test execution . This makes testing smarter, faster, and more resilient compared to convent...