Why 95% of AI Projects 'Fail' β and How to Fix It
Debunking the AI failure myth by analyzing the MIT report, discussing ROI measurement, integration challenges, and what really makes data systems succeed.
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Debunking the AI failure myth by analyzing the MIT report, discussing ROI measurement, integration challenges, and what really makes data systems succeed.
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Reflections on a decade in data science and AI, covering technology trends, organizational changes, project management, and lessons learned across industries.
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So it's been 1 year now since I started to get involved in organizing two meetup groups in MTL with Pydata MTL and MLOps Community...
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Exploring the roles of data scientists and machine learning engineers, their differences, and how they complement each other in modern ML projects.
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Five years of MLOps journey at Ubisoft building ML platforms for video games. Insights on challenges, tools, workflows, and lessons learned bringing ML to production....
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