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SAS
Infosys FinnacleInfosys Finnacle Brings Feature Pipelines onto SAS
Infosys Finnacle, an information technology organization in India, uses SAS Customer Intelligence from SAS to support applied machine learning for data scientists and ML engineers.
A SAS Customer Intelligence rollout at Infosys Finnacle took applied machine learning out of inboxes and into a named queue.
“Inside Infosys Finnacle, applied machine learning used to depend on whoever still had the latest file.”
“Data scientists and ML engineers needed a system that would still make sense after the original project team moved on.”
Independent write-up. Figures come from public sources or are illustrative.
Value results
| Category | Value result |
|---|---|
| Productivity | Fewer stalled items because feature pipelines has a clear owner |
| Risk and compliance | SAS Customer Intelligence is the governed place data scientists and ML engineers use for applied machine learning |
| Capability | New joiners can see how applied machine learning actually runs |
Story
Inside Infosys Finnacle, applied machine learning used to depend on whoever still had the latest file. That pattern is common in information technology groups working out of India. Data scientists and ML engineers needed a system that would still make sense after the original project team moved on.
Infosys Finnacle uses SAS Customer Intelligence from SAS as the working layer for feature pipelines. SAS provides analytics and AI software used for statistics, risk, customer intelligence, and decisioning in regulated industries. 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 Infosys Finnacle gets from SAS 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.
