Case Study: Upside accelerates model innovation and deployment with Qwak

Upside speeds model development by 30% with Qwak

Upside, a company that increases financial power for people and businesses through its app, faced a challenge in accelerating its machine learning efforts. They needed an MLOps platform to streamline model development, deployment, and monitoring while fostering collaboration between data scientists and engineers and controlling costs at scale. To address this, they partnered with Qwak and implemented its MLOps platform after a comprehensive evaluation.

By implementing Qwak's platform, Upside unlocked faster model innovation. The solution provided capabilities for model build and deploy, shadow deployments, CI/CD, monitoring, and a feature store. The measurable results for Upside included reducing model deployment cycles from quarters to just one to two weeks, speeding up model development by approximately 30% for data scientists, and cutting engineering delivery time by 20%. Qwak enabled self-service access for data scientists and helped improve model accuracy with faster iteration.

Upside