Multilingual ML in Action - Building and Deploying Continental R&D's First Predictive ML Model

Discover how Continental Tires transformed a simple proof of concept into their first production-ready predictive machine learning model for R&D in this 25-minute conference talk. Learn from Data Scientist Claudia Peñaloza as she details the complete journey of building and deploying a multilingual ML model designed to forecast tire performance and accelerate innovation cycles. Explore the implementation of language-agnostic MLOps platforms that enabled seamless global collaboration across teams and facilitated high-performance distributed runs. Understand how the team created a scalable framework that bridges experimentation and deployment, ultimately integrating the model into Continental's existing ecosystem with PostgreSQL databases and Tableau dashboards. Gain practical insights into designing repeatable ML workflows, integrating ML outputs into business systems, and transforming individual projects into company-wide innovation foundations. Examine the technical and organizational challenges of deploying predictive analytics in a multinational R&D environment and discover strategies for scaling ML success across large enterprises.