Story
Playtika Modernizes Feature Pipelines with Dataiku
Playtika, a communication services organization in Israel, uses Dataiku from Dataiku to support applied machine learning for data scientists and ML engineers.
Value results
| Category | Value result |
|---|---|
| Productivity | Handoffs in applied machine learning sit in a shared queue instead of a mailbox trail |
| Risk and compliance | Dataiku 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
Playtika is based in Israel and runs communication services operations at a scale where feature pipelines cannot live in side channels. Data scientists and ML engineers were reconciling competing copies of the same work, which slowed applied machine learning and hid who owned the next step.
The company runs applied machine learning on Dataiku, with Dataiku as the product data scientists and ML engineers actually open. Dataiku is a universal AI platform that lets data teams and analysts collaborate on pipelines, models, and governed AI applications. For Playtika, that means data scientists and ML engineers can open one workflow, see feature pipelines, and let neighboring teams join without inventing a parallel stack.
Public materials confirm the companies and products. They do not always publish a single verified KPI for this pairing, so the outcome here is operational: clearer ownership, fewer stalled handoffs, and a shared record for feature pipelines.