Profession

To succeed in an artificial intelligence project, it is not enough to deploy a successful model. It is still necessary to have a solid data infrastructure and a fluid collaboration between two complementary profiles: the Data Engineer and the Machine Learning Engineer. This article explores their roles, interactions and the technical skills that are essential to make AI a sustainable strategic lever.

This is THE question that most leaders and innovation managers are asking themselves today. Between rare technical profiles, AI consultants, and employees in need of training, it's hard to know where to start. In this article, we help you identify the right profiles and structure an AI team adapted to your reality, whether you are an SME, a large group or a startup. Read the full article to discover the 5 key profiles that make it possible to effectively integrate AI into a business.

Artificial intelligence is no longer a distant promise: it is already redesigning our jobs and our skills. Between new opportunities and a feeling of overwhelm, a LinkedIn study reveals how French professionals are experiencing this revolution. In this article, discover the most transformed sectors, the skills to be developed and the concrete strategies to succeed in the age of AI.

AI is disrupting employment, some positions are disappearing... but it is above all a transition. New jobs are emerging, productivity is increasing and data is becoming a strategic lever thanks to AI. Rather than a threat, it's an opportunity to reinvent work.

In every business, data goes a long way before it becomes usable: cleaning, calculations, exploration, scenarios, and then communication. This is the job of analysts, which is essential but often time-consuming, as more than half of the time is spent preparing data rather than learning from it. Artificial intelligence is changing the situation: not by replacing the analyst, but by playing the role of co-pilot, capable of automating repetitive tasks, detecting weak signals and generating scenarios so that humans can focus on understanding and making decisions.

The rise of AI is forcing agencies to reinvent themselves: while brands now internalize content and campaigns at a lower cost, agencies must abandon execution to offer greater strategic value (market expertise, AI workflows, AI workflows, training, data intelligence). Their future lies in orchestration rather than production. Trying Claude again can make mistakes. Be sure to check his answers.