Discover our articles on applied artificial intelligence
On 2 July 2026, EPEC hosted the Paris stage of the Tour France Num, alongside DiNum and France Num, the government partnership initiative dedicated to the digital transformation of small and medium-sized businesses. A morning devoted to economic security, cybersecurity, digital sobriety and artificial intelligence, in […]
Read more…At VivaTech, everyone expected spectacular demos: humanoids, drones, immersive experiences, ever more powerful models. All of that was there for the 10th edition of the Paris show (17-20 June 2026), but another thread ran through the aisles and the keynotes — quieter, and far more structural. Sovereignty in artificial […]
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In June 2026, for World Oceans Week, the SEA LIFE Paris Val d'Europe aquarium celebrated its 25th anniversary with the "Monsters of the Oceans" operation. Visitors could question the sea about its difficult cohabitation with humans through an interactive installation powered by an embodied voice AI.
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In March 2026, Yann LeCun — the French Turing Award laureate and founder of AMI Labs — closed the largest seed round ever raised by a European startup: 1.03 billion dollars, at a 3.5 billion pre-money valuation. Toyota, Nvidia, Samsung and Jeff Bezos are on the cap table. What justifies such a bet?
Read more…AI in museums: how is artificial intelligence transforming the cultural experience? SITEM, held at the Louvre, brings together museum, culture and tourism professionals around the sector's innovations every year. Attending to meet several agencies and partners, one observation stands out: artificial intelligence is no […]
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Gensai develops digital solutions integrating artificial intelligence for companies, institutions and organisations looking to create new services or automate certain tasks. The company has a presence in the Alps, at La Toussuire, a resort in Savoie at the heart of the Sybelles ski area, where one of Gensai's partners […]
Read more…Artificial intelligence continues to transform many sectors, and retail is one of the areas where change is particularly fast. In an article devoted to agentic AI in retail, the Journal du Net (JDN) recently interviewed several sector experts, including Gensai, to identify the concrete use cases emerging for retailers.
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Artificial intelligence is growing fast and more and more companies are developing or integrating these technologies. In this context, identifying the genuinely active players can be complex. Every year, Hub France IA publishes a mapping of AI startups and solution providers in France. The 2026 edition brings together […]
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Ask an artificial intelligence the same question several times and the answers can vary. Sometimes the difference is minimal, a simple rewording. In other cases, the recommendations themselves shift slightly. This can be surprising, especially in a professional context where software is expected to produce the same res […]
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Artificial intelligence is gradually taking hold in organisations. Internal conversational assistant, natural language search engine, chatbot connected to a document base, reporting automation, agents able to act autonomously — the possibilities are many. But one confusion persists: should you always aim for the autono […]
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Gensai has been a member of the France Num Activators network since 2025. But what does this listing actually involve? And why is it a signal for companies looking to structure a digital project or integrate artificial intelligence?
Read more…Voice artificial intelligence is accelerating sharply. After text-based LLMs became mainstream, voice is gradually establishing itself as a natural interface between users and digital systems: automated customer service, conversational agents, callbots, business assistants and real-time translation.
Read more…Generative artificial intelligence has established itself in companies within a few months. Internal chatbots, natural language search engines, writing assistants, automated document analysis, AI agents connected to CRM or business tools — uses are multiplying, driven by immediate productivity gains. But this accelerat […]
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Over the past two years, language models such as ChatGPT and Claude have become part of everyday professional life. Writing, summarising, translating, brainstorming: generative AI has become a widely adopted assistive tool. But a new stage is emerging — that of AI agents. Less visible to the general public, they repres […]
Read more…In 2026, enterprise artificial intelligence is no longer an experiment reserved for innovation departments. It is settling into marketing, finance, industrial and HR functions as an operational tool. The question is no longer whether to use AI, but which uses to prioritise, how to measure the value created and how to m […]
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After generative AI, a new stage is taking hold in companies: agentic AI. AI agents no longer merely answer questions — they analyse, decide and carry out actions. But moving from a POC to production use raises a key question: how do you orchestrate these agents reliably, securely and at scale?
Read more…AI agents are gradually establishing themselves as a key new software building block in organisations. Able to understand complex requests, interact with tools and chain actions autonomously, they go well beyond the simple conversational chatbot. To accelerate their adoption, the major AI players now offer agent SDKs.
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RAG (Retrieval-Augmented Generation) is an approach combining two strengths of artificial intelligence: retrieving relevant information and generating text with a language model (LLM). Rather than being limited to the data present when the model was trained, RAG searches a dedicated document base before generating a su […]
Read more…LLMs such as GPT and Claude revolutionised text generation. But a new generation of models is starting to take shape: DLLMs, or Diffusion Large Language Models. Drawing on image-generation techniques, these models reduce hallucinations, speed up processing and handle context better.
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Language models known as LLMs (Large Language Models), such as those powering ChatGPT, are not created in a single step. Before becoming publicly available, these models go through a rigorous learning process, structured in several phases combining massive datasets, human supervision and progressive adjustments.
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With the explosion of tools such as ChatGPT, Gemini, Perplexity and Claude, the way users access information is changing profoundly. Traditional search engines are gradually being challenged by natural language assistants — an evolution that is upending the rules of SEO and giving rise to a new discipline: GEO (Generat […]
Read more…As companies look to streamline their processes and gain efficiency, automation is becoming a priority. Long reserved for experienced developers, it is now accessible to a wider audience thanks to no-code (or low-code) automation tools. Among the existing solutions, n8n stands out for its flexibility, its open-source s […]
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An AI voice agent is an interface able to understand voice commands, respond aloud and carry out actions. It is a system combining speech recognition, natural language understanding (NLU), reasoning, decision-making and speech synthesis.
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A sovereign cloud is a cloud services infrastructure (storage, compute, applications) hosted and operated within a framework guaranteeing technological independence, legal certainty and control over data. It aims to ensure that sensitive or critical data is not subject to extraterritorial regulations such as the US Clo […]
Read more…As generative AI is used in more and more concrete applications — chatbots, search engines, business assistants — the reliability of answers becomes a major issue. One recurring challenge is reducing hallucinations, those invented or erroneous answers generated by language models. One technique stands out today for imp […]
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With the rapid rise of language models (LLMs), one question keeps coming up in modern architectures: how do you structure and efficiently retrieve unstructured data? This is where the notion of a vector database comes in, and in particular one of the most advanced solutions available today: Pinecone.
Read more…In generative AI systems, particularly those built on language models (LLMs), the challenge is not only generating an answer, but generating the right answer. This is where reranking comes in — a process often underestimated but crucial for improving the relevance, precision and coherence of a model's answers.
Read more…OpenAI now offers a coherent toolkit for building capable agents: reasoning models able to break a complex task into steps, voice models for speech-to-text and text-to-speech, the Responses API designed for agentic AI, and an Agent SDK for orchestration.
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Integrating artificial intelligence into company information systems is becoming increasingly essential for automating tasks and improving efficiency. Until recently, connecting an AI model to business applications required complex development. With the emergence of the Model Context Protocol (MCP), this has become far […]
Read more…Since ChatGPT arrived in late 2022, artificial intelligence seems to have become omnipresent. Many discovered AI at that moment and sometimes have the impression it is a recent technology. In reality, the concept of artificial intelligence has existed for nearly 70 years. The term itself was coined in 1956, at the Dart […]
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