Story
Palantir
TencentHow Tencent Runs Applied Machine Learning on Palantir AIP
Tencent, a communication services organization in China, uses Palantir AIP from Palantir to support applied machine learning for data scientists and ML engineers.
Value results
| Category | Value result |
|---|---|
| Capability | Data scientists and ML engineers work from the same Palantir AIP record for feature pipelines |
| Capability | Feature pipelines can be reviewed without waiting on a personal export |
| Capability | Named workflow replaces ad hoc routing for feature pipelines |
Story
Communication Services work at Tencent spans more than one site, even when headquarters sits in China. 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.
Palantir (Palantir AIP) is what they standardized on. Palantir builds data operating systems and AI platforms used by governments and enterprises to integrate operational data and decision workflows. Tencent 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 The story is about operating change, not an unpublished percentage.
