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SAS@Tripadvisor

Tripadvisor Uses SAS Customer Intelligence for Feature Pipelines

Tripadvisor, a consumer discretionary organization in the United States, uses SAS Customer Intelligence 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
ProductivityHandoffs in applied machine learning sit in a shared queue instead of a mailbox trail
CapabilityNew joiners can see how applied machine learning actually runs

Story

Consumer Discretionary work at Tripadvisor spans more than one site, even when headquarters sits in the United States. 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 Customer Intelligence) is what they standardized on. SAS provides analytics and AI software used for statistics, risk, customer intelligence, and decisioning in regulated industries. Tripadvisor 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 The story is about operating change, not an unpublished percentage.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

Tripadvisor uses SAS, Cisco, MongoDB, Qlik, Siemens Digital Industries Software, Microsoft Azure, Pega, GitLab, OpenText, PagerDuty, Stripe. Shared with 11880 Solutions AG, AbbVie, Ahold Delhaize, Aircall, American Express GBT. Industry: Consumer Discretionary. Value: Productivity, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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