Here’s What You Need To Know About MLOps
MLOps: must-know information for getting started with operationalizing machine learning In recent years, businesses have increasingly been trying to apply machine learning (ML) to their data. This has led to improved efficiency and cost savings for those who succeeded, because ML can be used to automate routine tasks and gain insights from data that […]
UbiOps Operators #2 Testing and conditional post processing
Exciting things you can build with the new UbiOps operators! In our first blog on pipeline operators, we used them to speed up a video processing pipeline. Specifically, we used the create subrequests and the collect subrequests operators to analyze multiple frames of the video simultaneously, by introducing parallelization. This time we will highlight three […]
Training a Tensorflow model on UbiOps
In this blog post we will give you an overview on how to create a training job and run it in the cloud using UbiOps. This structure can be used for pretty much all frameworks like Tensorflow, Keras, Pytorch, Scikit Learn and others.
What is Machine Learning Operations (MLOps) and why do you need it?
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.
Buy or Build for MLOps
Where to get started? Let’s start with admitting that there is no 100% waterproof pros and cons list of buying vs building an ML Ops stack that works for everyone. It always depends on your specific situation. In this article, I try to highlight some of the most important considerations to make and explain the […]
How to deploy an R XGboost model in UbiOps
Imagine this, you have just created a trained machine learning model or written an algorithm in R, and now you are looking for ways to put that code into practice. Well, you have come to the right place. UbiOps is a SaaS service that lets you make your data science application a reality and supports […]
How to create a data pipeline in UbiOps?
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 often not that simple. In reality, you usually don’t have a single model with perfect input and output. Rather, there is a chain of operations […]
Is this video or picture real, or fake? Time for a deepfake detection.
Get to know whether your video or photo is a deep fake, powered by UbiOps and DuckDuckGoose. We are happy to announce that DuckDuckGoose chooses to work with UbiOps for their deep fake detection software called “DeepDetector”. It not only detects deep fakes but also explains its actions. DuckDuckGoose chooses to work with UbiOps to […]
User Interface vs. Scripting Machine Learning Operations
Why do both matter? More and more organizations – small and large – are coming out of the Proof of Concept phase of developing machine learning models. They’re now up to the task of putting these machine learning algorithms into operation and let them create the promised value. We call this MLOps, or machine learning […]
Introduction to cloud computing for Data Scientists – #2
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 […]
Explainable Machine Learning
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 […]
How to build an image recognition web app with UbiOps and YOLOv4
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 […]
Introduction to cloud computing for Data Scientists #1
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 […]
UbiOps new name for platform of Dutch Analytics
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 […]
Self-managed vs SaaS: where to host your data science applications?
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?
MLOps – “Thou shalt always scale” 10 requirements of MLOps
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 […]
Rabobank finances further growth of Dutch Analytics
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 accessible way with existing IT systems. With the aim to accelerate the time-to-market of data-driven applications and to save significant IT costs for companies. The […]
5 Remote Working Tips from Dutch Analytics
For many, working from home sounds like a dream. Sending emails from the couch, flexible working hours and chatting with colleagues on camera. Sounds cool, right? Certainly, you can become less disturbed and boost your productivity while working from home! The current situation of the Coronavirus has forced many teams to isolate themselves and work […]