Mikael Koutero profile picture Hi there! I am Mikael, I am a senior data science manager at Capgemini. I naturally think in terms of connected systems and integration. I don't like boxes, I recently fiddled with things such as product design or behavioural science to build a comprehensive understanding of the data ecosystem.

I am very driven to find ways to work on both sides of the fence to create Business value with Data Science. This means that here you will read about topics such as #DataStrategy, #DataScience, #DataVisualization and #AI with a human touch. Time has been limited to write on top of my current responsabilities but I will share some more when I can.

From here, you can reach for my resume and more details about me or head for the Blog.

Featured article

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MLOps: From Chaos to Scalable AI

A Brief History and Its Impact on Data Science

MLOps evolved from the challenges of deploying machine learning models, transforming ML from isolated experiments into scalable, reliable business solutions. Inspired by DevOps, it automates data pipelines, version control, and monitoring, ensuring that AI systems remain efficient, reproducible, and valuable at scale. 🚀

Most recent writings

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How to test data science models acceptability?

Putting a model in production is not only about how many requests per second it can handle

As a manager, you were diligent and you set a data science project running that follows a carefully established strategy. But now, you have a thrilled data scientist who is explaining to you how his/her model has an impressive accuracy with a given validation strategy and you should start to use it in production. Can it be that simple? Read more

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