Case Study: Spot by NetApp achieves faster ML model deployment and fewer production issues with Qwak

Spot by NetApp speeds ML model deployment 5X with Qwak

The customer, Spot by NetApp, faced challenges in efficiently delivering machine learning models to production. Their data science and engineering teams were hindered by a slow, dependent process that lacked centralized monitoring and safe testing environments. They engaged the vendor Qwak to streamline this transition and bridge the gap between their teams.

Qwak implemented its ML platform, including Qwak Build and a Feature Store, to standardize project structures and allow data scientists to manage their own data pipelines. Using Qwak's solutions for model serving and monitoring, Spot by NetApp could deploy new models with a single click and track performance centrally. This resulted in a 5x faster time to deployment, an 85% reduction in production issues, and five new models running in production within four weeks.

Spot by NetApp