Category: Data Science

Customer feedback, use of connected objects, company reports, social networks… Data sources are multiplying, and so is the information they contain. In such a context,

While the growing importance of data facilitates decision-making within organizations, it also increases cyber risk. In this context, data protection is of paramount importance. This

Find out in this article how to optimize your teamwork time and improve the organization of your projects. We introduce you to the Jira platform:

Area charts are invaluable tools for comparing data and their evolution over time. So what are they? What is the purpose of these charts? What

Optical Character Recognition (OCR), also known as ocherecognition, encompasses all the methods used to generate text files from images containing handwritten text. With the advent

Data is a precious resource for businesses, but losing it can also have disastrous consequences. To avoid this, it’s best to implement a DLP strategy.

Having real-time data is essential for making the best decisions, regardless of the industry or company size. However, raw data is rarely analyzed as is.

Ces derniers temps, le web est inondé de photos et de vidéos associées au mot DeepFake, mais de quoi s’agit-il réellement ? Le DeepFake, autrement appelé

Power BI is a Business Intelligence and data visualization tool developed by Microsoft. It helps organizations make better data-driven decisions. Let’s have a look at

With the multiplicity of platforms and programming languages, application design is becoming ever more complex. To simplify software development, new concepts are emerging. One of

Companies using containers know: Kubernetes are everywhere. But managing these Kubernetes often represents a real challenge. And that’s true whether they’re organized within a single

If machine learning allows organizations to be more efficient and make the best decisions, it is essential for data science experts to master various artificial