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Snowflake
Mizuho Bank, Ltd.Mizuho Bank, Ltd. Brings Feature Pipelines onto Snowflake
Mizuho Bank, Ltd., a financials organization in Japan, uses Cortex AI from Snowflake to support applied machine learning for data scientists and ML engineers.
Mizuho Bank, Ltd. standardized feature pipelines on Snowflake instead of keeping parallel copies.
“Data scientists and ML engineers needed a system that would still make sense after the original project team moved on.”
“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 | Cortex AI 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
Inside Mizuho Bank, Ltd., applied machine learning used to depend on whoever still had the latest file. That pattern is common in financials groups working out of Japan. Data scientists and ML engineers needed a system that would still make sense after the original project team moved on.
Mizuho Bank, Ltd. uses Cortex AI from Snowflake as the working layer for feature pipelines. Snowflake is a cloud data platform that separates storage and compute so organizations can share, analyze, and govern 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 Mizuho Bank, Ltd. gets from Snowflake 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.
