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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AI Factories Are Not Enough Anymore.

It’s Time to Architect Value, Not Just Models

The rise of Generative AI has rendered the old AI Factory model obsolete, shifting the focus from mass-producing algorithms to architecting unique, high-value business solutions. This new paradigm introduces the AI Value Architect, a strategic partner who orchestrates an Intelligence Trifecta of specialized roles: the Data Flow Architect, AI Behavior Architect, and AI Product Engineer. Working in a continuous, dynamic cycle, these roles collaborate to transform business processes and deliver a quantifiable return on intelligence.

Most recent writings

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From racks to clicks.

A Peek Inside the Cloud's Engine Room

Deconstructs the cloud by tracing the journey from physical server racks and networking up through layers of virtualization, containerization, and orchestration. It explains how management and control planes work together to translate user requests into running applications, ultimately delivering seamless managed services that hide this underlying complexity. Read more
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Your AI Thinks It Knows everything. It Doesn't.

About Uncertainty. Anyway.

Decision-makers often confuse quantifiable risk, where outcomes can be assigned probabilities, with true uncertainty, where unpredictable ‘unknown unknowns’ dominate. While AI excels at analyzing and managing risk, it fundamentally cannot grasp the intangible and genuinely uncertain aspects of business. Therefore, human judgment and adaptability remain indispensable for navigating the truly novel and making strategic decisions beyond algorithmic logic. Read more

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