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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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UAT Entrance Criteria: Don’t Negotiate Against Yourself An important component of any User Acceptance Testing (UAT) plan are the entry criteria. No complex data system will ever be perfect, but starting with lax entrance criteria puts the UAT team in a weak position. |
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7 Things to Know In 2021 about the New Privacy Laws Changing the Web In the past few years, we’ve experienced rapid changes in the online privacy landscape. Here are 7 key things everyone should know today regarding privacy on the Web.
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How COVID-19 Accelerated Digital Maturity Explore how COVID-19 has revolutionized the IT industry through opportunities similar to those experienced during the Internet, mobile, social, and cloud revolutions.
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Immunizing Your Software against a Defect Pandemic When your released software is infected with problems, there is the possibility of a pandemic defect, when a wide geographic area and an exceptionally high proportion of the end-user population is affected. Just like with the coronavirus, following proper guidelines and taking mitigation steps can reduce the spread. |
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Ditch Your Logs for Better Monitoring Metrics Many teams use logs to track the behavior of applications, services, or platforms. But how actionable is that log data? There are better ways to parse that information and make it more visible, more useful, and easier to understand. Try converting your logs into metrics for a faster and more lightweight monitoring system. |
