Creating Efficiency and Trust with MLOps


In this talk, you will learn about the two goals of MLOps: efficiency and trust. We will dive deeper into a number of effective ways to reach those goals. While MLOps is useful for almost every machine learning project, better collaboration is most valuable for larger teams while full lineage is most valuable for the financial and healthcare industries.


During his career at KLM, Jan van der Vegt worked on several large machine learning projects. Technical challenges turned his focus more to the engineering side, with him initiating and leading an internal MLOps project. Afterward, he founded Cubonacci to create the Cubonacci MLOps platform.

Open Data Science




Open Data Science
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Cambridge, MA 02142

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