Home Insights Case Studies Machine learning for optimized campaign delivery and performance: A Yieldmo case study

Machine learning for optimized campaign delivery and performance: A Yieldmo case study

A scalable configuration-driven Machine Learning Platform case study cover

In a dynamic world where advertising success depends on data-driven decisions, the partnership between Yieldmo, a digital advertising platform, and Grid Dynamics has birthed a groundbreaking solution–a scalable, configuration-driven Machine Learning Platform. This innovative platform addresses the challenges of Yieldmo’s high-volume, real-time advertising operations, offering configurable ML pipelines, standardized model feature definitions, and a configuration-driven architecture that streamlines the path to production.

Supported by AWS cloud-based infrastructure and H2O Driverless AI, this platform empowers data scientists to develop and deploy ML models efficiently, and a robust model metadata registry ensures accountability and traceability, paving the path for optimized advertisement campaign delivery and performance.

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