Blog

Our blog features articles about machine learning lifecycle management and data science. Also discover inspiring use cases of our solution Cubonacci.

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What MLOps is and why you need to know about it

What is MLOps and why you need to know about it

Solving the combined concerns of the development, deployment and operational phases of a machine learning application is called MLOps. In this post we will explain what MLOps is, and why MLOps is important to extract value from machine learning.
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The three key ingredients of successful AI

Proper business integration of AI requires three key ingredients. In this blog post we will describe what they are and how keeping this in mind helps increase the effectiveness of data teams.
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Regulations in AI

Regulations in AI become more and more important for organizations to take into account. Managing these burdens efficiently is essential to stimulate innovation and speed.
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Type safety in microservices using GraphQL and TypeScript​ part II: GraphQL schema combination

Type safety in microservices using GraphQL and TypeScript Part II: GraphQL schema combination This is part two in a two-part series of blog posts about type safety in a microservices
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Type safety in microservices using GraphQL and TypeScript part I: backend and frontend

Type safety can save developers a lot of time. This blog post discusses a method of applying type safety in a microservices architecture using GraphQL and TypeScript
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The machine learning lifecycle

Companies struggle to operationalize machine learning models. This blog post dives into the machine learning lifecycle and how that helps industrialization.
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Meet our authors

Jan van der Vegt

CEO / Data Scientist

Borre Mosch

CTO / Software Engineer