Story
Snowflake
AppDynamicsAppDynamics Uses Cortex AI for Feature Pipelines
AppDynamics, an information technology organization in the United States, uses Cortex AI from Snowflake to support applied machine learning for data scientists and ML engineers.
Value results
| Category | Value result |
|---|---|
| Productivity | Fewer stalled items because feature pipelines has a clear owner |
| Productivity | Handoffs in applied machine learning sit in a shared queue instead of a mailbox trail |
| Capability | New joiners can see how applied machine learning actually runs |
Story
Information Technology work at AppDynamics 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.
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. AppDynamics 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 The story is about operating change, not an unpublished percentage.
