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 »
Dataviz is definitely an added value for a Big Data project. A simplified analysis can be obtained that allows any audience to understand the data through, among other things, Storytelling. The tool is accessible and can be handled at all levels of the company. A simplified analysis Dataviz, or Data Visualization, can be considered an …
Deep learning is a concept designed to enable a computer system to learn by example. Developing its learning on its own, the machine acquires great reasoning skills that computers did not have before. This process is a great advance in the field of artificial intelligence. Here’s what you need to know about deep learning. Translate …
Data is becoming more important in many areas. It becomes indispensable for marketing strategies, optimization of IOT or for the use of machine learning. The importance of data is such that it becomes essential to secure it so that it does not fall into the hands of malicious people. In data science, the use of …
At the origin of any Big Data project completed, there is a proof of concept. This essential step allows us to assess the feasibility of an idea but contains many pitfalls. In order not to lose sight of the goal – that of putting into production – realism and efficiency are essential. In this article, …
If you belong to the X or previous generations, you did not grow up in the big data era. Roles such as data scientists or data engineers did not exist at the time you studied or were reserved for a minority of misunderstood geeks. Things have changed dramatically. Today, the data business is unavoidable. For …
In recent years, the increase in the number of data centers has been a cause for concern. Energy-hungry, data centers have become essential to the smooth running of the Internet by allowing the storage of an astronomical amount of data in the cloud. If the alarm bell has already been rung, the balance sheet is …
What solutions are available to limit the impact of data centers on the environment? Read More »