Revolutionising estimations with AI is transforming how teams predict timelines, allocate resources, and improve project planning. Traditional estimation methods often rely on human intuition, which can introduce biases and inconsistencies. AI offers a data-driven approach that enhances accuracy, reduces uncertainty, and allows teams to focus on delivering value. If you’re interested in understanding the foundational shift in estimation practices, check out my earlier post on Rethinking Estimations in the Age of AI. This post explores AI’s capabilities, tools, and techniques for improving estimations, along with practical steps for integrating AI-driven solutions into your workflow. How AI Enhances Estimation Accuracy Analysing Historical Data AI tools can process vast amounts of historical project data to uncover patterns and trends, enabling more accurate …

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Traditional estimations often rely on guesswork, but what if AI and data could do it better? Discover how rethinking estimations can revolutionise predictability and efficiency in software development. #AI #SoftwareDevelopment #EstimationRevolution

As organizations strive to scale their agile practices, the Large Scale Scrum (LeSS) framework provides a streamlined solution. By promoting simplicity, transparency, and cross-functional teamwork, LeSS helps teams collaborate effectively while maintaining the core principles of Scrum. This post explores the key concepts, benefits, and challenges of implementing LeSS, along with resources for further learning.