December 04, 2024 marked the launch of the the nAIxt platform platform from ILLUIN Technology. A real game-changer for the industrialization of the GenAI strategy and the implementation of Agentic AI: 2 challenges at the heart of concerns for 2025.
Relive the event in 4 minutes 👇🎥
Sharing the GenAI industrialization process
This product launch was an opportunity to bring together 100+ AI decision-makers to discuss and build around the common challenges of 2025 linked to the industrialization of GenAI strategies.
3 points of vigilance are shared by all:
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- Technological and economic independence from the tech giants
- The ROI of large-scale GenAI projects
- Integrating the state of the art along the way and maintaining the highest level of innovation
"The nAIxt platform mixes and hybridizes, it doesn't lock in but opens up perspectives, allowing us to have a playground, an open world on generative AI that brings gains in productivity and agility."
Philippe HENNERESSE, IT Innovations Director, Saint-Gobain Distribution Bâtiment France
Geopost's testimonial based on 11 use cases
Using 11 case studies, Hugues de Maussion, CIO of Geopost, the European leader in parcel delivery with 2.1 billion parcels, explained why equipping a company's AI strategy (in the broadest sense of the term) is both a necessity and an immense lever for creating value. ILLUIN Technology's products were used in a number of bespoke projects, and the audience was amazed by several demos:
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- Omnichannel agents for customer support (chat, telephone...)
- Analysis of massive flows of administrative documents (invoices, slips, etc.)
- Voice analysis of call center conversations and intelligent CRM input
- Generating a summary of a parcel's life in the supply chain
- Automated filling of CSR files
"Our uthe creation of nAIxt is based on the ideae to have the house in order, to have all our POCs, initiatives, projects, in a single platform to keep control, otherwise we risk quickly getting caught up in an anarchy of topics, solutions, implementations."
Hugues de MAUSSION, CIO - Executive VP of Geopost
A deep dive into technical and functional aspects
Led by the creators of nAIxt, our guests were able to discover the full potential of our low-code development studio and orchestration platform to cut the time needed to design and build Generative AI use cases by a factor of 5.
In this way, nAIxt natively meets 3 technical challenges of large-scale Generative AI:
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- Managing multimodal data: processing text, voice, documents, images, natural language, assistants, agents)
- Combine models of various natures, origins (commercial, open source...), sizes (LLM, SLM...) and generations, to optimize ROI and environmental cost.
- Orchestrate advanced agent systems, in the age of Agentic AI, to automate complex processes
"The first advantage of nAIxt is its low-code dimension, since with seasoned users we'll be able to find use cases that we wouldn't be able to find with traditional IT. The second advantage is the agnostic nature of nAIxt, since something that has been designed in low-code can be exported in code form and deployable on a conventional MLOps platform. "
Aldrick ZAPPELLINI, Head of Group Data & AI and Group CDO, Crédit Agricole
