Session
The Next Wave of AI Applications Driven by Agentic Workflow at Adidas Using Databricks
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Artificial Intelligence |
Industry | Enterprise Technology, Manufacturing, Retail and CPG - Food |
Technologies | MLFlow, Mosaic AI, Partner Connect |
Skill Level | Intermediate |
Duration | 40 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