Tech

Generative AI is an artificial intelligence technology that can produce different types of content. This article will help you better understand generative AI and how it works. We will then detail several use cases, examples of generative AI applied in business. Finally, we will discuss the most well-known AI tools. What is generative AI?

Ocerization or OCR is the acronym for Optical Character Recognition, or in French, Optical Character Recognition. A very complex acronym for a technology that is not so complex. The purpose of OCR is to enable computers to understand printed (typed) and/or written (handwritten) text. What is ocerization?

Document management is an essential part of most businesses and organizations. Whether it is to process invoices, contracts, reports, or other types of business documents, effective electronic document management is crucial for the smooth running of a business. In this article, we will explore the role of tools for

Automating the processing of accounting documents is a strategic lever for businesses. Indeed, this offers the possibility of reducing tedious manual tasks, increasing data accuracy, and centralizing all accounting records. This transition to automation, when properly implemented, can help. This makes it possible to generate a

New technologies can help with customer identity checks in compliance with KYC AML standards.

50 SHADES OF AI The Encyclopedia Britannica defines Artificial Intelligence (AI) as follows: “It is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with intelligent beings.” It is important to note that performing these tasks does not tell us how intelligent the computer is.

L'apprentissage “profond” ou “deep learning” fait beaucoup parler de lui ces dernières années. Et pour cause, ce sous ensemble de l'apprentissage machine (machine learning ») s'est imposé de manière impressionnante dans plusieurs champs de recherche: reconnaissance faciale, synthèse vocale, traduction automatique, et bien d'autres. Ces champs de recherche ont pour point commun d'être des problèmes perceptifs,

What we call Machine Learning or Machine Learning is nothing other than the encounter of statistics with the computing power available today (memory, processors, graphics cards). This field has become very important because of the digital revolution in businesses, which has led to the production of massive data of various forms and types,