AI
Forever Junior: The Skills AI Can’t Develop For You
Told to use AI but still ‘keep a hand on the wheel’? AI writes code, but it can’t make Seniors. Here’s how Junior can use agents and still evolve.
Introducing CLEPR, our model for semantic understanding
Discover CLEPR, Criteo’s deep learning model for semantic search and product retrieval, improving relevance and retail media performance at scale.
What Stood Out at ICLR 2026: Criteo Papers and Research Highlights
Explore Criteo’s ICLR 2026 research highlights, from contextual bandits and data valuation to 3D vision, diffusion models, and agentic AI.
Beyond the demo: Why agentic evaluation matters
Agentic systems powered by LLMs can be incredibly impressive in demos. With a few well-crafted prompts, they can demonstrate reasoning, calling tools, and solving complex tasks [1]. Demos are effective at showcasing what’s possible. Production environments, however, are where those capabilities are tested at scale and under real-world conditions. The same agent that performs perfectly…
AdTech, culture, diversity, and AI: Notes from our latest Women In Tech Meetup
On a weeknight in Bucharest, Criteo opened the doors of its new tech hub for a Women in Tech meetup under a simple but clear theme: Driving Change in Tech. The agenda moved from a deep‑dive keynote on ad tech at scale to a panel about culture, diversity, and AI, and finally, networking. The result…
On the Impact of the Utility in Semivalue-based Data Valuation
A new diagnostic method that scores data valuation robustness for cleaning, efficient training, and fair partner compensation. This Research Card introduces a new way to measure how trustworthy data valuation really is, by checking how much rankings of “most valuable data” change when the performance metric changes. Using a geometric representation of data contributions, the…
Agentic AI Symposium 2026
A science‑fueled, multidisciplinary approach to Agentic AI Authors: Jean-Yves Franceschi & Mariia Vladimirova At the Criteo AI Lab, we believe that making AI both trustworthy and useful requires a continuous and open dialogue between scientists, engineers, policymakers, regulators, and industry leaders. As AI systems evolve from passive predictors to agentic systems capable of planning, using tools,…
Our Experience at Snowcamp 2026
Ten years of the coolest dev conference in Grenoble 🏂 Authors: Nicolas Terreyre, Sylvain Dedieu, Arnaud Becquet, Nicolas Drufin, Nicolas Beaudouin, and Léo Gatellier For the fourth consecutive year, Criteo was proud to partner with the Snowcamp conference in Grenoble. Furthermore, we had the privilege of hosting the “Snowcamp Tremplin” at our Grenoble office last November,…
Leveraging Commerce Data for Outcome-Based Relevancy in Agentic Recommendation Systems
Learn how commerce data improves outcome-based relevance in agentic recommendation systems, delivering 37% better retrieval and 60% better SKU re-ranking.
Criteo Boosts Ad Performance with Latest AI Advancements
Abstract. Everyone talks about AI today, and it seems AI has become an off-the-shelf tool providing plug-and-play capabilities. However, when addressing the hardest problems, such as those arising in the Commerce Media and AdTech industry, things are far more complex and require advanced AI (more specifically, machine learning) expertise. In this post, we share the…
