Datacenter

Machine learning is getting more traction. The willingness of companies to use ML models in production for their daily business is growing.

Many believe that testing is not representative when we have not tested with production data. It’s hard to build confidence in a solution if people have not seen it behave correctly with actual production data. But testing with production data is often a bad idea.

In this article, I will show how to use ML.Net (Machine Learning framework for .Net developers) to create an API service that will analyze comments sentiments (e.g. positive or negative sentiment of the comment).

Looking for a way to integrate traditional BI with Advanced Analytics into a single environment? Take a look at Lakehouse, it comes with the good from both Worlds.

In this article, I want to demonstrate how we execute a Digital Manufacturing project by describing an example case of a batch production process.

Find out how R brings a source of innovation through its functioning and its community in this blog.

In this article, we will focus on the problem of not using a precise alternative hypothesis in statistical tests. We will see that the Bayesian method takes this criticism into account and that it is easily usable with R and other software.

Today, we will explain how R changes the game by making it possible to inject easily images, videos, sounds or other kinds of data.

Looking at the current pace at which companies are adopting Cloud Technologies, there is no doubt that DBaaS is here to stay.

This blog post provides solutions to archiving applications that have been replaced. And it is easy! Too easy to be true!

Our current research topic is called “Digital Happiness” and we’re exploring new ideas about how companies should interact with their clients…

Think is the crucial part of an IoT solution. It gives information to acting towards end users. The added value…