Case Study: FUGA accelerates ML deployment and improves MLOps with Devoteam’s Vertex AI Foundations

How FUGA leverages Devoteam’s Vertex AI Foundations to push more ML pipelines into production

FUGA, a leading music distribution and technology company, faced operational overhead and a high time-to-market for its machine learning models due to its reliance on manual Python scripts. To streamline its ML processes and adopt MLOps best practices, FUGA partnered with vendor Devoteam to implement Devoteam’s Vertex AI Foundations.

Using the Vertex AI Foundations framework, Devoteam built a robust, automated MLOps solution featuring CI/CD pipelines, automated retraining, and hyperparameter tuning with Google's Vizier AI. This provided FUGA with faster release cycles, improved cost efficiency, and a solid, scalable foundation for its machine learning practices, enabling greater traceability and monitoring. Devoteam's solution exceeded expectations and prepared FUGA for future ML advancements.

Fuga

Gerrit Theron

Head of Data Engineering