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storyIsraelCommunication ServicesProductivityRisk and complianceCapability

Story

Dataiku@Playtika

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

CategoryValue result
ProductivityHandoffs in applied machine learning sit in a shared queue instead of a mailbox trail
Risk and complianceDataiku is the governed place data scientists and ML engineers use for applied machine learning
CapabilityNew 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.

Relationship map

Playtika uses Dataiku, AWS, Pega, SAS, Snowflake, Qlik, Genesys, Dropbox, ADP, Coupa. Shared with Agilent Technologies, American Express Global Business Travel, Anglo American, Asahi Kasei, ASE Technology. Industry: Communication Services. Value: Productivity, Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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