Story
Teradata
Hindustan PetroleumHindustan Petroleum Uses VantageCloud for Feature Pipelines
Hindustan Petroleum, an energy organization in India, uses VantageCloud from Teradata 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
Energy work at Hindustan Petroleum spans more than one site, even when headquarters sits in India. 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. Hindustan Petroleum 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 The story is about operating change, not an unpublished percentage.
