55. Paris Women in Machine Learning & Data Science @Hilti

The Women in Machine Learning & Data Science (WiMLDS) Meetup aims to inspire, educate, regardless of gender, and support women and gender minorities in the field.
We are back for our 55th edition, and so glad to see you all again after the summer break!

All genders may attend our meetups.

Agenda
18:50 arrival to Hilti, 126 Rue Gallieni, 92100 Boulogne-Billancourt
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19:00 - Launch of the evening by Paris WiMLDS meetup team & Hilti
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19:15 - Intelligent Marketing: Leveraging AI to Drive Personalized Customer Interactions, by Yashvi Chawla, Data Scientist @Hilti

Abstract: To be announced soon, stay connected for updates!

19:45 - How to choose the best image embeddings for your e-commerce business, by Urszula Czerwińska, Research Engineer at Jasper.ai

Abstract: In this talk, we explore how to choose the most suitable image embedding models for real-world e-commerce applications such as visual search, product clustering, or duplicate detection. Based on a large-scale benchmark conducted at Adevinta (Leboncoin), we compare 20 state-of-the-art models (CLIP, DINOv2, ViT, etc.) across multiple domains and tasks. Full results are available in our paper: https://arxiv.org/abs/2504.07567, and we’ll share key insights to help practitioners make informed, task-specific model choices.

20:15 - Claire Gouze, Co-founder & CEO @nao Labs

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20:45 - Cocktail & Networking
The cocktail is sponsored by Hilti.
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After the meet-up, a summary be available on our Medium page : https://wimlds-paris.medium.com/
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Code of Conduct
WiMLDS & MLOps are dedicated to providing a harassment-free experience for everyone. We do not tolerate harassment of participants in any form.
All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate.
Be kind to others. Do not insult or put down others. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate.
Thank you for helping make this a welcoming, friendly community for all.
All attendees should read the full Code of Conduct before participating: https://github.com/WiMLDS/starter-kit/wiki/Code-of-conduct