Skip to content
storyAustraliaMaterialsProductivityCapability

Story

SAS@Fortescue

Fortescue Modernizes Feature Pipelines with SAS

Fortescue, a materials organization in Australia, uses SAS Viya 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

Fortescue grew feature pipelines faster than the local tools around it. From Australia, materials teams still had to serve customers and internal partners who expected a straight answer. Data scientists and ML engineers were the ones stitching the picture together by hand.

Rolling out SAS Viya put applied machine learning on SAS. SAS provides analytics and AI software used for statistics, risk, customer intelligence, and decisioning in regulated industries. Fortescue keeps the product in the path where work already happens, so data scientists and ML engineers do not context-switch into a graveyard system used only for audits.

The visible result is steadier applied machine learning. Feature pipelines is easier to inspect, and adjacent groups can join data scientists and ML engineers without a guided tour of someone's desktop.

Relationship map

Fortescue uses SAS, OpenText, ServiceNow, Elastic, Databricks, Confluent, Twilio, Box. Shared with 11880 Solutions AG, AbbVie, Ahold Delhaize, Aircall, American Express GBT. Industry: Materials. Value: Productivity, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

100%

Similar stories

Search Valuerepo

Search stories, solutions, customers, and more.

Type to search stories, solutions, and companies

↑↓Navigate↵OpenEscClose

View all