LVMH organizes the second edition of the LVMH Data AI Summit, three days of innovation in Paris.

LVMH

·

The second edition of the LVMH Data AI Summit was held from 11 to 13 September in Paris. The event brought together more than 700 participants from around the world and over 60 of the Group’s Maison, consolidating LVMH’s position as a leader in the sector. This year, the focus was on the emergence of generative AI, which represents a unique challenge to tackle. While these technologies offer remarkable creative potential, making it possible to generate bespoke designs and personalized experiences, they also raise questions about authenticity as well as responsibility. 

The opening day of the LVMH Data AI Summit began with a Data Science competition at Albert School, with which LVMH has recently set up an educational partnership focusing on data and AI professions. 
Over the course of the day, mixed teams made up of Data profiles from the Maisons, the Group and Albert School students, facilitating sharing and collaboration, were able to work on new innovative use cases for Bulgari (winner of the Hackathon) and Parfums Christian Dior in retail optimization to predict workforce need and optimize daily planning thanks to artificial intelligence.  

The second day featured a series of executive panels and inspirational sessions. Executives leaders coming from all over the World from LVMH, Sephora, Louis Vuitton, Dior, Tiffany & Co, Bulgari, Celine, Loewe, Rimowa, Loro Piana, Moët Hennessy and Make up for ever shared their ideas and initiatives on the transformative potential of AI all across the luxury value chain.   

The final day of the summit provided an opportunity to delve deeper into a range of topics related to Data and AI, offering in-depth sessions and workshops for participants keen to broaden their knowledge. 
Participants were able to explore topics such as data governance, customer experience, ecommerce, algorithms, data platforms and operations/supply chain through project presentations and workshops.