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Informatica
Power AssetsPower Assets Adopts Informatica for Applied Machine Learning
Power Assets, a utilities organization in Hong Kong, uses Data Quality from Informatica to support applied machine learning for data scientists and ML engineers.
Power Assets uses Data Quality to train and ship models on the same lakehouse the business already trusts.
“In Hong Kong, 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.”
“Informatica is an enterprise data management platform for integration, quality, catalog, and master data across clouds.”
Independent write-up. Figures come from public sources or are illustrative.
Value results
| Category | Value result |
|---|---|
| Capability | Data scientists and ML engineers work from the same Data Quality record for feature pipelines |
| Capability | Feature pipelines can be reviewed without waiting on a personal export |
| Capability | Named workflow replaces ad hoc routing for feature pipelines |
Story
Power Assets did not need another dashboard that nobody opened. It needed applied machine learning to move. In Hong Kong, 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.
Data Quality from Informatica is now in that path. Informatica is an enterprise data management platform for integration, quality, catalog, and master 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.
Power Assets 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.
