Artificial Intelligence (AI) models are powerful decision-making tools, but they aren’t perfect. Over time, the data they rely on changes, leading to model drift—a situation where an AI model’s accuracy declines because the real world no longer matches the data it was trained on. If ignored, model drift can result in bad predictions, lost revenue, and frustrated...
Static testing is an effective but often overlooked strategy in software development. Identifying problems early saves time, effort, and money compared to correcting errors later in the development cycle. This tutorial will bring you through the static testing process, including necessary tools and best practices for maximizing its...