Story
Teradata@
Palantir Technologies
Palantir Technologies Brings Feature Pipelines onto Teradata
Palantir Technologies, an information technology organization in the United States, uses VantageCloud from Teradata to support applied machine learning for data scientists and ML engineers.
A VantageCloud rollout at Palantir Technologies took applied machine learning out of inboxes and into a named queue.
“Information Technology work at Palantir Technologies spans more than one site, even when headquarters sits in the United States.”
“Data scientists and ML engineers asked for a shared way to run applied machine learning without freezing local judgment.”
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 |
| Productivity | Handoffs in applied machine learning sit in a shared queue instead of a mailbox trail |
| Risk and compliance | VantageCloud is the governed place data scientists and ML engineers use for applied machine learning |
Story
Information Technology work at Palantir Technologies 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.
Teradata (VantageCloud) is what they standardized on. Teradata provides a connected multi-cloud data platform for large-scale analytics and mixed workload warehousing. Palantir Technologies 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 The story is about operating change, not an unpublished percentage.
