Agence IA: an R&D team specialized in Artificial Intelligence

Demystifying generative AI is a complex process, given the diversity of its technical terms, acronyms, tools and associated concepts. While large language models (LLMs) enable the analysis and interpretation of virtually unlimited amounts of textual data while solving problems in an automatable way, multi-modal models (LMMs) provide a revolutionary approach to analyzing images, photos, videos or even handwritten documents in real time. Chatbots, powered by generative artificial intelligence and capable of producing natural text responses, can be configured to reproduce an infinite range of behaviors, from the automation of an online after-sales service to a specialized assistant powered by complex technical data.

Just as it's advisable to host your language model in a private cloud in order to limit access to the data to your own employees, it's perfectly possible to use GPT, Mistral, Claude or Gemini with your own data sources! This is what RAG (Retrieval Augmented Generation) does, using a specific type of database (embedding vector store) to feed your preferred language model. While implementing such a system is relatively straightforward, setting it up for ideal performance, in terms of operating costs and response accuracy, requires a great deal of experience. BeTomorrow offers a complete tool chain for deploying, optimizing and monitoring the use of your RAG.

AI makes it possible to automate all kinds of repetitive and time-consuming tasks, freeing up your employees' time for missions that bring more value. Because imagination is the only limit, we offer GenAI creative workshops to discover innovative ideas at all levels of your organization or products.

Alongside GenAI, machine learning continues to gain in popularity, helping to improve systems in virtually all business areas. Our AI team harnesses the full potential of machine learning to deliver solutions tailored to our customers' specific needs. Whether it's predictive algorithms, image analysis, document recognition or sentiment analysis, we develop models that precisely meet the requirements of each business sector. These traditional machine learning algorithms remain indispensable and are often used to complement GenAI's solutions.

Democratizing access to data is essential in the age of AI, where exploiting information in real time is becoming a strategic lever. Self-Service BI responds to this challenge by offering business teams intuitive tools for analyzing and visualizing their data, without depending on IT. These solutions optimize decision-making through automated analyses, enabling trends to be explored, data sources to be cross-referenced and correlations invisible to the human eye to be identified, all within a secure framework.

Our expertise in responsible AI highlights approaches that combine performance and ethics, guaranteeing systems that are transparent, fair and respectful of users. By integrating control, supervision and explicability mechanisms, we design solutions that reinforce trust and compliance, while optimizing the impact of AI in demanding and constantly evolving business environments.

Thanks to advances in machine learning and predictive modeling, data science can identify trends, optimize processes and automate decision-making with greater precision. Just as generative AI is revolutionizing content creation, data science is pushing back the frontiers of analysis by harnessing algorithms capable of detecting complex patterns, refining recommendations and anticipating behavior. Whether it's improving the customer experience, optimizing resource management or strengthening cybersecurity, data science is today an essential building block of AI strategies, providing concrete answers to the challenges of increasingly dynamic and competitive business environments.