Artefact Data & AI Digest | BNP Paribas & Robertet client cases | Artefact x Giskard x Mistral AI consortium wins the GenAI Award by Bpifrance
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GenAI industrialization is challenging for companies everywhere. The AI factory at the BCEF entity of BNP Paribas has already entered this GenAI industrialization phase, and we also share an interview with Artefact exploring how to overcome the challenges of GenAI’s scalability. The sweet smell of success is also in the air this month!
And don’t forget to plan your agendas for the Adopt AI Summit on June 5th in Paris, StationF!
BNP Paribas: An AI for efficiency program to accelerate the transformation of the BCEF entity
The BCEF (Banque Commerciale En France) is an entity of the BNP Paribas Group that is a leading global financial institution, offering a comprehensive range of banking, investment, and financial services, renowned for its strong international presence and commitment to sustainable and innovative banking solutions.
Adrien Vesteghem is the Director of the Center of Excellence in Artificial Intelligence and the Director of the AI acceleration program at BNP Paribas. He explains that the reasons for launching this acceleration program were first of all the impact on the company’s value and its competitive edge:"
With a program of this scale, we can expect to see an increase of 10-15% on the bottom line. The use of generative AI technologies has been particularly important because it helped us with our users and sponsors, not only to explain things, but also for adoption."
With the Artefact consulting and tech teams, the BCEF entity has deployed an AI Factory that is a response to move beyond the concept and PoC phases to generate value rapidly, securely and reliably by integrating with its Information System.
The AI Factory manages both the value steering, provides technological and methodological assets, and oversees the transformation of roles within the group. It aims to industrialize viable GenAI use cases not just today, but in the future, to address BCEF's ambitions.
More than 70 use cases have been identified within this AI Factory through an ideation process and some have been already deployed, like phishing fraud detection now done in real time thanks to Machine Learning, or experimenting with Large Language Models (LLM) to enable more effective responses to clients which helps BCPE advisors work better.
“We're expecting a lot of wonderful things; we've already seen some pretty spectacular results thanks to generative AI,” says Adrien.
How art and AI combine to make fragrance come to life
The Robertet Group , is a global leader specializing in the production of natural ingredients for the fragrance, flavor,?health and beauty industries, like the creation of perfumes.
Robertet?partnered with Artefact 3000 Studio ?and data artist Tiziana Alocci ?to create a unique experience:?30 data-art portraits representing the unique character of their creators. Created from the?last 100 formulas of each perfumer or flavorist, these works highlight the exceptional expertise of their creators.? The Digital Gallery?“Scented Connections” responds to this ambitious challenge by combining art and artificial intelligence.
The Digital Gallery was rewarded by an FWA of the Day (Favourite Website Award). FWAs celebrate the most innovative and visually impactful websites and digital projects.
Come and discover the secrets behind each fragrance and flavor through these unique virtual portraits: Online Gallery
领英推荐
Cost, user experience, quality and change are key for industrialization of GenAI cases
While a proliferation of PoCs in generative AI has occurred, few initiatives have been industrialized due to their complexity. Hanan Ouazan, Partner and Generative AI Lead at Artefact, takes stock in this interview from LeMagIT.
The four main categories for generative AI applications are:
“The most important factor for successful industrialization is adapting AI to users’ needs, not the other way around,” emphasizes Hanan, stressing the importance of employee involvement and training for seamless integration and effective use. “Adoption should not be painful,” he concludes.
ArGiMi Consortium (Artefact, Giskard and Mistral AI) wins Bpifrance call for generative AI projects
Bpifrance launched a call for projects to develop specialized language models (LLMs) tailored to the needs of businesses. The consortium comprised of Artefact, Giskard and Mistral AI (ArGiMi), in collaboration with the Institut National de l'Audiovisuel (INA) and the Bibliothèque nationale de France (BnF), was selected to lead this initiative and won the Bpifrance award!
Expertise and collaboration:
ArGiMi’s goal is to create the next generation of French-language LLMs and to address the challenges of industrializing generative artificial intelligence. Currently, only 5% of generative AI projects reach the industrialization stage, mainly due to the difficulty of making models reliable, financing them or deploying them efficiently. The project is committed to sharing specialization methodologies, models and data in open source to promote accessibility and customization while respecting ethical standards.
Next Wednesday on June 5th - Still time to register! The Artefact International Adopt AI Summit
Our 10-year anniversary is almost here! It’s time to plan your exciting day at the Artefact Adopt AI Summit. Which of our?world-class speakers and high-level conferences will you decide to see?
Here’s a detailed list of what will be where to help you make your picks:
The Adopt AI Summit is a unique event on the future of AI with an impressive lineup of inspiring CEOs and CDOs, check it out all our speakers here .
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Read all our previous Data & AI Digest news on our website .