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The AI Revolution in Software Quality Assurance: A New Era of Quality Engineering and Productivity State-of-the-art AI platforms are transforming SQA. Automation, improved visibility, and streamlined processes are boosting efficiency and effectiveness for QA teams today. As AI evolves, embracing it and developing the necessary skills will be crucial for QA professionals to thrive in the future. |
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Implementing New Standards: Should We Push or Pull? No one likes process for process’s sake. Most of us are naturally resistant to change. Modifying standards or processes is an organizational change task. How do we encourage people to embrace change? |
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Machines and Humans: Finding the Balance in Software Development The rise of AI in software development brings efficiency and innovation, but raises concerns about maintaining a human-centered approach. The key is to find a balance where AI tackles repetitive tasks, freeing up human developers to focus on creativity, empathy, and user-centric design. |
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Generative AI: Pushing Software Development Forward? Generative AI is fundamentally changing software development by automating tasks and improving code quality, but developers need to be aware of its limitations and biases. |
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User Participation Is Essential to Diagnosis and Problem Solving The role of IT professionals is to help users get the most value from their systems. If IT systems aren’t working efficiently or correctly, it isn’t just an “IT Problem” and the nice folks in IT can’t solve it effectively without user participation. |
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It’s Not All Engineering IT managers often begin their careers as engineers, problem solvers, and innovators. If you are a technical person who aspires to a management role you must learn to embrace and work with budget and priority constraints. |
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10 Tips for Better Writing Many people resist writing and are out of practice, but small improvements can make a big difference. If you would rather go to the dentist than write a one-page report, these tips are for you. |
