Growing AI/ML Maturity & Adoption: It Takes a Village
OVERVIEW
EXPERIENCE | In Person |
---|---|
TYPE | Breakout |
TRACK | Data Science and Machine Learning |
INDUSTRY | Retail and CPG - Food |
TECHNOLOGIES | AI/Machine Learning |
SKILL LEVEL | Beginner |
DURATION | 40 min |
DOWNLOAD SESSION SLIDES |
The Data Science team at Bridgestone Americas is on a transformational journey. In less than a year, we transitioned from being almost exclusively on-premises to being fully in the cloud. In this talk, we will candidly discuss the journey, including the highs, the lows, and the key learning. We are using Databricks and our multicloud ecosystem to generate models in a plethora of areas, including supply chain, marketing, labor optimization, genomics, AI assistants/chatbots, and vision models. These achievements were only possible with great partners, including Databricks. Along the way, we encountered many challenges that we overcame with the help of our partners and internal stakeholders.
SESSION SPEAKERS
Patrick Rudolph
/Data Scientist
Bridgestone
Coy McNew
/Lead Data Scientist
Bridgestone