AI in Tech

AI in Software Testing: Automating Quality Assurance Artificial intelligence is reshaping how teams test software. It speeds up feedback and helps catch issues earlier in the development cycle. By handling repetitive tasks, AI lets testers focus on analysis, risk, and improving overall quality. The goal is not to replace people, but to amplify their judgment with smart tools. What AI can do for testing AI can support testing in several practical ways. It can turn a written requirement into test cases, prioritize tests by risk, and spot patterns that humans might miss. With enough data, it learns to recognize normal behavior and flags anomalies before they reach customers. ...

AI-Powered Personalization in Web Apps AI-powered personalization in web apps means tailoring content, recommendations, and UI in real time using machine learning and data about a user’s behavior. It blends signals from visits, clicks, and feedback to predict what the user needs next. The result is a smoother, more useful experience for many visitors. Why it matters: When pages show relevant content, users engage more, convert faster, and stay longer. But personalization should feel helpful, not intrusive. Clear consent, simple controls, and transparent goals build trust and keep users comfortable. ...