Curious to know how Adidas is transforming customer experience and business impact with agentic workflows, powered by Databricks? By leveraging cutting-edge tools like MosaicML’s deployment capabilities, Mosaic AI Gateway, and MLflow, Adidas built a scalable GenAI agentic infrastructure that delivers actionable insights from growing 2 million product reviews annually. With remarkable results: 60% latency reduction (15.5 seconds to 6 seconds) 91.67% cost savings (transitioning to more efficient LLMs) 98.5% token efficiency, reducing input tokens from 200k to just 3k 20% increase in productivity (faster time to insight) Empowering over 500 decision-makers across 150+ countries, this infrastructure is set to optimize products and services for Adidas’ 500 million members by 2025 while supporting dozens of upcoming AI-driven solutions. Join us to explore how Adidas turned agentic workflows infra into a strategic advantage using Databricks and learn how you can do the same!
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Speaker
Mahavir Teraiya
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Mahavir Teraiya is a Resident Solutions Architect at Databricks with 15+ years of experience in Data, ML, and large-scale AI platform design. Formerly with AWS and Zalando, he now focuses on helping enterprise customers scale GenAI through agentic workflows. At DAIS, Mahavir will present the groundbreaking GenAI platform built with Adidas—the first of its kind in EMEA—driving 20% productivity gains and up to 91% cost savings. He is currently pursuing a PhD in Federated Learning and an MBA in IT. A passionate technologist and frequent speaker at AWS events and GopherCon, Mahavir thrives at the intersection of cutting-edge tech and business value.
Bio from: Data + AI Summit 2025
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