Arize AI and Paperspace Announce a Partnership to Bring Deep ML Observability Solutions to Data Science Teams
Arize AI and Paperspace release integration allowing all users of Gradient to enable Arize Observability
Oct 16, 2020, 11:00 ET
BERKELEY, Calif., Oct. 16, 2020 /PRNewswire/ -- Arize AI, the Machine Learning (ML) Observability Company and Paperspace, a leader in the machine learning development platform space, have partnered for deep model observability on top of the Gradient platform.
Paperspace customers will have priority access to a Gradient-optimized instance of the Arize platform. The Arize platform enables any model built on Gradient to have instant best-in-class model monitoring, troubleshooting and explainability.
The integration allows Paperspace customers the ability to monitor data drift, model drift, and model performance issues with a simple activation. In addition to finding issues, a suite of troubleshooting workflows are available to bottom-out problems, all hosted in a purpose-built platform designed for ML Observability.
About Arize AI
Arize AI was founded by leaders in the Machine Learning (ML) Infrastructure and analytics space to bring better visibility and performance management over AI. Arize AI built the first ML Observability platform to help make machine learning models work in production. As models move from research to real world, we provide a real time platform to monitor, explain and troubleshoot model/data issues.
About Paperspace
Paperspace is a high-performance cloud computing and deep learning development platform for building, training, and deploying models. Tens of thousands of individuals, startups, and enterprises use Paperspace to iterate faster and collaborate on intelligent, real-time prediction engines.
Paperspace is backed by leading investors including Battery Ventures, Intel Capital, SineWave Ventures, Y Combinator, and Initialized Capital.
To learn more about Gradient, please visit https://gradient.paperspace.com/ or follow Paperspace on Twitter at: @hellopaperspace.
Contact: Krystal Kirkland, [email protected]
SOURCE Arize AI
