How do you deliver reliable data across dozens of countries, diverse tech stacks, and constantly evolving use cases? In this session, Vinicio Oliviera, Senior Data Platform Manager at Delivery Hero, shares how his team ensures trust in data at scale. From real-time sales streams to AI-driven vendor insights, he’ll show how Delivery Hero uses Monte Carlo’s monitoring-as-code to unify reliability across regions, balance central standards with local autonomy, and keep data powering decisions around the globe.

Panel featuring Olena Nahorna, Katarzyna Stoltmann, Jennifer Lapp, Aliya Boranbayeva, moderated by Anita Fechner, discussing AI in communication and data.

Delivery Hero's Quick Commerce service provides customers with an easy and efficient way to order grocery items for delivery. However, with thousands of stores and millions of products available on the marketplace, the company faces the risk of revenue loss and customer churn if users struggle to find products that meet their needs and preferences. This talk will explore how Delivery Hero developed a product semantic similarity recommender using transformer-based product embeddings and vector search to identify similar products across various points in the customer's purchasing journey. We will also discuss the challenges encountered, the solutions implemented, and the next steps for this initiative.

Le Wagon alumni from the different data bootcamps (Data Science & AI, Data Analytics and Data Engineering) share their experiences in job hunting and career growth.

A round of recruitment and industry experts provide insights on entering and succeeding in the data industry and answer questions.

Vector search is a Zero Results system— as long as products are available, it will always return the top N results for any search query. To optimize the precision/recall balance of the vector search system, we need to control the cosine similarity threshold. We will explore how different models inherently have varying cosine similarity distributions, and how factors such as finetuning, query length, and query language impact this.

Panel discussion on how UX Researchers function in different organizational contexts, with Q&A.