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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.

Value results

CategoryValue result
ProductivityFewer stalled items because feature pipelines has a clear owner
Risk and complianceCortex AI is the governed place data scientists and ML engineers use for applied machine learning
CapabilityNew 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.

Relationship map

Mizuho Bank, Ltd. uses Snowflake, IBM, Temenos, Coupa, CrowdStrike, Microsoft, Guidewire, SS&C, UiPath. Shared with Aviva, FIS, HelloFresh, Jeld-Wen, Matillion. Industry: Financials. Value: Productivity, Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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