Story
Informatica
NewmontNewmont Extends Data Quality Across Applied Machine Learning
Newmont, a materials organization in the United States, uses Data Quality from Informatica to support applied machine learning for data scientists and ML engineers.
Newmont uses Data Quality to train and ship models on the same lakehouse the business already trusts.
“Inside Newmont, applied machine learning used to depend on whoever still had the latest file.”
“Data scientists and ML engineers needed a system that would still make sense after the original project team moved on.”
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 |
| Productivity | Handoffs in applied machine learning sit in a shared queue instead of a mailbox trail |
| Risk and compliance | Data Quality is the governed place data scientists and ML engineers use for applied machine learning |
Story
Inside Newmont, applied machine learning used to depend on whoever still had the latest file. That pattern is common in materials groups working out of the United States. Data scientists and ML engineers needed a system that would still make sense after the original project team moved on.
Newmont uses Data Quality from Informatica as the working layer for feature pipelines. Informatica is an enterprise data management platform for integration, quality, catalog, and master data across clouds. The practical change is simple: applied machine learning has a home, and reviews happen there instead of in a forwarded thread.
Nothing in this writeup invents a savings number. What Newmont gets from Informatica is a durable place to run applied machine learning and a way for data scientists and ML engineers to see the same feature pipelines at the same time.
