Deploying 2000 models every day: 10 years of ML Stack evolution @ Criteo

Predictive algorithms are at the core of the technology of Criteo, a major player in the online advertising industry. As such, they've been doing MLOps even before the term existed. Based on 8 years of experience at Criteo, Axel Antoniotti will present the evolution of Criteo's MLOps Platform, allowing the daily deployment of 2000 models that have to support high volumetry combined with real-time constraints. Combined, these make interesting challenges, many focusing on the Ops part of MLOps. Brace yourself!

⏰ Schedule

• 18h30 - 19h00: Welcome & Introduction 👋
• 19h00 - 19h45: Talk 🎙
• 19h45 - 20h00: Q&A Session 🙋‍♀️
• 20h00 - 21h30: Cocktail & Networking 🥂

🎙 About the speakers

Axel Antoniotti has been working at Criteo for 7 years, and operate as Staff Software Engineer Lead since 2019. As such, Axel drove the evolution of Criteo's ML Platform and helped them become a pure player in the MLOps field. He has a strong background in innovation and R&D and previously worked for big companies in the commerce and software industry.

🙌 Sponsors

Pernod-Ricard is number 2 in the world of wines & spirits. For over two years, the group has launched an ambitious digital transformation leveraging industrialized and owned data capabilities. As a result, they currently have predictive and prescriptive models deployed in production in many of their 160 markets aligned with their core values: conviviality, responsibility, and success.

Criteo is the global commerce media company that enables marketers and media owners to drive better commerce outcomes. Its industry leading Commerce Media Platform connects 22,000 marketers and thousands of media owners to deliver richer consumer experiences from product discovery to purchase. By powering trusted and impactful advertising, Criteo supports an open internet that encourages discovery, innovation, and choice.

🤩 Audience

This is a meetup for data professionals who want to push forward the productionization of machine learning development within their organizations: data scientists, data engineers, software and devops engineers, data project/product managers...

👋 Contact

For any inquiries, please contact florent@mlops.paris