Unlocking Industrial AI: Coca-Cola, Databricks, and Data Foundation
OVERVIEW
EXPERIENCE | In Person |
---|---|
TYPE | Breakout |
TRACK | Data Science and Machine Learning |
INDUSTRY | Manufacturing, Retail and CPG - Food |
TECHNOLOGIES | AI/Machine Learning, Apache Spark, GenAI/LLMs |
SKILL LEVEL | Intermediate |
DURATION | 40 min |
DOWNLOAD SESSION SLIDES |
At 16 Trillion a year and 30% of global greenhouses, manufacturing is the world's largest sector and one of the most important opportunities for sustainability. Most factories are at most 60-70% as productive and efficient as they might be, and while factories are data rich - generating more than 2x the data of any other sector - the industry has been unable to scale the use of AI. A principal reason is that factory data is in its raw state and unsuited for efficient application of technologies like Databricks. The data is extremely heterogeneous; it lacks metadata and context and must be wrangled by hand to support analysis. Using Databricks and technology from Databricks partner Sight Machine, Swire Coca-Cola is scaling AI and demonstrating the power of a new paradigm: Data First. This fireside chat with Swire Coca-Cola leadership will share how Swire uses Databricks and streaming data foundation to unlock AI at scale.
SESSION SPEAKERS
Sudhir Arni
/SVP, Business Outcomes
Sight Machine