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Snowflake@RH

RH Uses Cortex AI for Data Sharing

RH, a consumer discretionary organization in the United States, uses Cortex AI from Snowflake to support partner data exchange for data platform and lines of business.

RH standardized secure data sharing on Snowflake instead of keeping parallel copies.

“Consumer Discretionary work at RH spans more than one site, even when headquarters sits in the United States.”
“Data platform and lines of business asked for a shared way to run partner data exchange without freezing local judgment.”
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Independent write-up. Figures come from public sources or are illustrative.

Value results

CategoryValue result
ProductivityFewer stalled items because secure data sharing has a clear owner
ProductivityHandoffs in partner data exchange sit in a shared queue instead of a mailbox trail
CapabilityNew joiners can see how partner data exchange actually runs

Story

Consumer Discretionary work at RH spans more than one site, even when headquarters sits in the United States. Secure data sharing was splitting across regional habits. Data platform and lines of business asked for a shared way to run partner data exchange without freezing local judgment.

Snowflake (Cortex AI) is what they standardized on. Snowflake is a cloud data platform that separates storage and compute so organizations can share, analyze, and govern data across clouds. RH uses it as the system of record for secure data sharing, with data platform and lines of business as the primary operators and other groups coming in through the same queue.

Leaders get a picture they can actually walk. Teams get fewer mystery statuses. The story is about operating change, not an unpublished percentage.

Value Graph

RH uses Snowflake, Hugging Face, PTC, CyberArk, Workday, Okta, HashiCorp, Smartsheet, Wiz, Pega, NVIDIA, Snyk, Microsoft Azure, Cartesia, Box, F5, Dassault Systemes, SAP. Shared with Aviva, FIS, HelloFresh, Jeld-Wen, Matillion. Industry: Consumer Discretionary. Value: Productivity, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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