Dow has developed a Carbon Footprint Ledger (CFL) utilizing the Databricks Data Intelligence Platform to streamline the calculation of Product Carbon Footprints (PCFs) for its extensive product portfolio. This system, built on technologies like Apache Spark and Delta Lake, significantly reduces processing time from weeks to a fraction of that, while ensuring data lineage and auditability. The CFL is designed to meet ISO 14067 and GHG Protocol standards, enabling Dow to offer verifiable low-carbon products and assist customers in reducing their Scope 3 emissions. AI
IMPACT Enables verifiable tracking of Scope 3 emissions, potentially accelerating enterprise sustainability initiatives.
RANK_REASON This is a case study of a company using an existing platform for a specific business application, not a new product release or core AI research.
- Apache Spark
- Carbon Footprint Ledger
- Databricks Data Intelligence Platform
- Decarbia™
- Delta Lake
- GHG Protocol Product Standard
- MLflow
- Unity Catalog
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