Story
Snowflake
American TowerAmerican Tower Extends Unistore Across Applied Machine Learning
American Tower, a real estate organization in the United States, uses Unistore from Snowflake to support applied machine learning for data scientists and ML engineers.
American Tower uses Unistore to train and ship models on the same lakehouse the business already trusts.
“In the United States, data scientists and ML engineers already knew where feature pipelines went wrong: too many copies, too little ownership, and a close process that waited on the loudest inbox.”
“Snowflake is a cloud data platform that separates storage and compute so organizations can share, analyze, and govern data across clouds.”
Independent write-up. Figures come from public sources or are illustrative.
Value results
| Category | Value result |
|---|---|
| Productivity | Fewer stalled items because feature pipelines has a clear owner |
| Risk and compliance | Unistore is the governed place data scientists and ML engineers use for applied machine learning |
| Capability | New joiners can see how applied machine learning actually runs |
Story
American Tower did not need another dashboard that nobody opened. It needed applied machine learning to move. In the United States, data scientists and ML engineers already knew where feature pipelines went wrong: too many copies, too little ownership, and a close process that waited on the loudest inbox.
Unistore from Snowflake is now in that path. Snowflake is a cloud data platform that separates storage and compute so organizations can share, analyze, and govern data across clouds. The company treats it as production tooling for applied machine learning, which is why data scientists and ML engineers live in it rather than exporting from it once a quarter.
American Tower can show how feature pipelines is handled today. That is the value: a repeatable way to run applied machine learning on software the rest of the industry already recognizes.
