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How to choose the product/services that I need?

Blog Pricing Security

Introduction to cloud computing for Data Scientists – #2

October 14, 2020 / January 5, 2024 by [email protected]

As the field of cloud computing is expanding, we see that many of our clients wonder whether migrating to the cloud is a feasible option for them. It can be hard to keep up with all that is happening when new services and vendors go online every day. We believe that the key to acknowledging […]

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Tagged

#machinelearningcloudcloudcomputingcloudvendordatadeploymentiaasmlpaassaassecurity
hoe breng je jouw data science model verder dan een proof-of-concept?

Blog Podcast

From algorithm to scalable application. How to bring your data science beyond a proof of concept?

October 13, 2020 / January 5, 2024 by [email protected]

Many organizations are investing in building data science teams. It’s now time that these teams produce results. However, many companies still struggle to do so. During the event we will discuss how to transform a model into a scalable and valuable application for the customer. With years of experience in the field, and 121 other […]

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New functionality of UbiOps

Blog Functionality Product update

New features of UbiOps – October 2020

October 8, 2020 / July 26, 2023 by [email protected]

On the 8th of October 2020, we have released new functionality and we made improvements to UbiOps SaaS. Here is an overview of what is new in UbiOps: Scheduler for model & pipeline execution We added the possibility to create a request schedule for models or pipelines in UbiOps. This way you can make periodic requests […]

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Explainable Machine Learning in Deployment.

Blog

Explainable Machine Learning

October 7, 2020 / January 5, 2024 by [email protected]

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 data science activities in their organizations. Besides discovering and rediscovering many times how many businesses underestimate the hurdle of deploying, upscaling, and monitoring their machine […]

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Tagged

#datascience#machinelearningbuldingmodelsenvironmentexplainexplainabilityMLOpsmodelsproduction
Object detection with UbiOps

Blog Functionality

How to build an image recognition web app with UbiOps and YOLOv4

September 30, 2020 / January 5, 2024 by [email protected]

In the previous  How to deploy YOLOv4 on UbiOps, we showed how easy it is to deploy and serve a pre-trained image recognition model with UbiOps. UbiOps is a robust and scalable production environment for data science and machine learning workloads. If you want to read more about what is important in an AI production […]

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Tagged

#machinelearning#MLmodelsAPIauto-scalingdemodeploymentfilemanagementmodel requestobjectdetectionobjectrecognitiontokensubiopswebappyolo

Blog Support

Introduction to cloud computing for Data Scientists #1

September 23, 2020 / January 5, 2024 by [email protected]

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 many of our clients, computing in the cloud seems like a daunting task. We also see that as most Data Scientists start out in a […]

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Tagged

#bigdata#datascience#machinelearningamazonAWSazurecloudcloudcomputingcloudvendordatagooglecloudmodels

Blog

UbiOps new name for platform of Dutch Analytics

September 16, 2020 / July 26, 2023 by [email protected]

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 helps companies to make data-driven models operational, maintain them and integrate with existing systems after development. The mission of Dutch Analytics is to run data […]

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Tagged

#datascience#machinelearning#MLmodelsapplicationdataMLOpsplatformsoftwarestartupUI

Blog

How to deploy YOLOv4 on UbiOps

September 10, 2020 / January 5, 2024 by [email protected]

Image recognition is a popular and important field within machine learning. Many models exist to for example classify objects within images. In this tutorial, we will take a look at one of these image recognition models called YOLOv4 (You only look once) and install it locally. Take a look at the paper and the website from the author. […]

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Tagged

#AImachine learningmlMLOpsPythonyoloYOLOv4
UbiOps release notes v2.1

Blog

New features of UbiOps – July 2020

July 30, 2020 / July 26, 2023 by [email protected]

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 result in better performance, faster response times and higher reliability of UbiOps. Besides this, new functionality is available. Check the new Features & Functionality overview […]

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Tagged

#bigdata#datascience#MLmodelsdataengineeringsaasstartupUIwebapp

Blog

A happy marriage between data science and software teams

July 28, 2020 / June 23, 2021 by support

In most companies we speak with, data science teams operate separately from software engineering and IT teams... Data scientists focus on devising, developing, and conducting experiments with many iterations. Software developers are focused on building stable, robust, and scalable solutions.  An algorithm alone is not enough to bring value. You want to run it live […]

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Self-managed vs Saas

Blog

Self-managed vs SaaS: where to host your data science applications?

June 24, 2020 / July 26, 2023 by support

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?

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Tagged

#datascience#machinelearning#MLmodelsawsazuredataengineeringgooglecloudMLOpssaas

Blog

MLOps – “Thou shalt always scale” 10 requirements of MLOps

June 11, 2020 / May 21, 2023 by support

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 a (lead) Data Scientist, Data Engineer, Product owner or anyone else involved in Machine Learning, I might be reading your mind on what your next […]

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Tagged

#bigdata#datascience#machinelearningdataengineeringMLOpsPython
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