MLOps (Machine Learning Operations) is the set of practices, processes and principles that help us in deploying, running and maintaining machine learning algorithms at scale in live production environments.
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We are excited to announce that BAM Energy Systems has decided to use UbiOps for their data-driven analytics. “We want to use UbiOps to further develop propositions for optimising energy...
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In a previous article I explained how to deploy a single data science deployment onto UbiOps that could be used for object recognition. However, in the real world, it is…
Review of explainability techniques. Do they suffice our needs? In the past 6 months, I have spoken to representatives of nearly a hundred companies and had insightful conversations about the…
At Dutch Analytics, we are a big fan of the cloud. It offers us the resources and flexibility we require, without the hassle of maintenance. But we notice that for...
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The Hague, 2020 Dutch Analytics introduces UbiOps (formerly: Xenia) as the new name of its platform. At the beginning of this year, Dutch Analytics introduced a new software platform that...
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On the 30th of July 2020, we have released a new version (v2.1) of the UbiOps platform. We made major improvements to the underlying architecture over the past months. These...
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This article is written for managers who are starting with data science and clarifies what phases one goes through from data collection to deployment in production. It also touches upon the different tools…
Are you or any of your colleagues Data Scientists? Have you been involved in bringing data science models in production? Have you seen that the actual machine learning code is only a tiny fraction of the whole solution?
If you work with any type of Machine Learning nowadays and you’ve ever thought about putting the AI you’re working on into production, this article is for you. Whether you’re…
Dutch Analytics collects financing from Rabobank to further develop its software platform UbiOps. The platform of Dutch Analytics helps companies to operationalize, manage and integrate data science models in an...
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The last five years have seen a tremendous increase in data science efforts. Not surprisingly, as not only the field has advanced a lot in the areas of Machine Learning and Artificial Intelligence, but also more and more companies …
