Data is the “fuel” for ML. Yet, in many projects, it is still challenging to get the data right due to a lack of documentation, data quality issues, missing historical data, scalability issues with data platforms and overall lack of ownership.

At ML6 we recommend our customers to look into “Data Mesh”.
You might have noticed multiple people, blog posts and white papers mention the concept in the last few months. …

Koen Verschaeren

Solutions Architect @ tropos.io, foodie, art-lover based in Antwerp, Belgium.

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