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SAS@Gradient Labs

Gradient Labs Standardizes Feature Pipelines on SAS

Gradient Labs, an information technology organization in the United Kingdom, uses SAS Visual Analytics from SAS 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 complianceSAS Visual Analytics 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

Information Technology work at Gradient Labs spans more than one site, even when headquarters sits in the United Kingdom. Feature pipelines was splitting across regional habits. Data scientists and ML engineers asked for a shared way to run applied machine learning without freezing local judgment.

SAS (SAS Visual Analytics) is what they standardized on. SAS provides analytics and AI software used for statistics, risk, customer intelligence, and decisioning in regulated industries. Gradient Labs uses it as the system of record for feature pipelines, with data scientists and ML engineers 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 The story is about operating change, not an unpublished percentage.

Relationship map

Gradient Labs uses SAS, Anthropic, Google Cloud, Dynatrace, CyberArk, monday.com, MongoDB. Shared with 11880 Solutions AG, AbbVie, Ahold Delhaize, Aircall, American Express GBT. Industry: Information Technology. Value: Productivity, Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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