Why 95% of AI Projects 'Fail' — 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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Professional development, industry insights, and career advice
My Decade's Journey in Data and AI
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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Meetup Milestone: Navigating my First Year as an Organizer
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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Data scientist & Machine learning engineer: Decoding the roles
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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Back from Apply(ops) 23 conference
Key takeaways from Apply(ops) 23 conference featuring insights from Uber, Lidl, Hello Fresh, and Pinterest on MLOps platforms, multi-cloud strategies, and production ML at scale....
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Five years in the making, my MLOps journey in the video game industry
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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Bringing Machine Learning to Production at Ubisoft (PydataMTL June22)
Explore bringing machine learning from R&D to production at Ubisoft. Learn about creating an ML platform to support data scientists building production-ready pipelines.
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Navigating Unity as an ML Practitioner: A Personal Journey
The following article will focus on my first experiences as an ML practitioner in Unity, a popular game engine. First, we'll start by introducing game...
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Hello World
Welcome to my blog where I share projects and insights from my work as a data scientist at EDF Energy in England, with a focus...
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