This article details the main security risks associated with machine learning, provides an overview of the techniques commonly used to prevent these risks and explains the usefulness of machine learning in the fight against cybercrime. The process of creating Machine Learning (ML) applications is a challenge for cybersecurity experts. Artificial intelligence is indeed vulnerable …
How to ensure that the AI solutions developed will be used? How to scale up and ensure the adoption of AI within the enterprise? How to prepare the next steps and enable scalability? We take stock of these questions in this article. Artificial Intelligence (AI) has been invited to company meetings for several years. …
Predictive maintenance consists mainly in anticipating maintenance needs in order to avoid a production stoppage resulting from a machine breakdown. It is a concept linked to computer-assisted maintenance management aimed at optimizing the production line. The expansion of Big Data also implies the optimization of production. Data and predictive maintenance are therefore essential to the …
When we talk about data storage, we are talking about the methods and technologies that allow digital data to be stored and stored. Several types of media are involved in this type of storage. It is important for companies to choose the right storage solution. Find out in this article what data storage is all …
The current context pushes companies to use new technologies, in particular the Internet of Things (IoT). Demand will be strong, especially in the fields of health and industry. Network technologies will be more and more varied. Here are the perspectives on IoT in health and industry. A variety of options The explosion in demand in …
Outlook 2021: Focus on IoT in Healthcare and Industry Read More »
This article puts the spotlight on intelligent buildings and their energy performance issues. Energy performance is a fundamental issue. Beyond the need to preserve our planet, a non-optimized use of energy sources creates an increasing cost for companies. In addition, French and international regulations impose more and more constraints on companies in terms of …
Energy performance: the challenges of smart buildings Read More »
Whether for budgetary or ecological reasons, energy consumption is a concern for many companies and individuals. The development of the big data environment and artificial intelligence now makes it possible to analyze consumption habits and make sometimes substantial savings. Thanks to data, we can now understand how we consume and thus optimize energy use. Prevention …
Like many other sectors, the medical field is undergoing a revolution. Technological advances in data processing and automation in recent years are helping to see a new face for healthcare. Started in the 1980s, laboratory automation is one of the most visible elements of this shift and the benefits are present, for businesses and individuals …
Thanks to the Internet of Things and the development of big data, new opportunities are arising on a daily basis that should facilitate the ecological transition. Air pollution, extreme meteorological events, rising temperatures, reduced biodiversity, the environmental outlook is proving to be bleak at the beginning of the 21st century. Nevertheless, the human species is …
The majority of companies consider data integration and big data projects to be a priority. Future decisions will be “data-driven” or will not be. As data is constantly multiplying, thinking about scalability from the outset of a data processing project is essential. How to scale? How best to ensure this scalability? In this article, you …
Scalability: the challenge of scale-up data projects Read More »