Session

The Next Wave of AI Applications Driven by Agentic Workflow at Adidas Using Databricks

Overview

ExperienceIn Person
TypeBreakout
TrackArtificial Intelligence
IndustryEnterprise Technology, Manufacturing, Retail and CPG - Food
TechnologiesMLFlow, Mosaic AI, Partner Connect
Skill LevelIntermediate
Duration40 min

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!

Session Speakers

Mahavir Teraiya

/Resident Solutions Architect
Databricks

Joana Ferreira

/ML Engineer
Adidas AG