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Arize AI Expands Collaboration With Google Cloud To Accelerate Machine Learning Observability

Arize is now available on Google Cloud Marketplace, offering machine learning teams a tried-and-true platform for boosting model performance and increasing model velocity.
Fremont, CA: Arize AI is a machine learning observability platform that assists machine learning teams in delivering and maintaining more effective AI in production. Arize's automated model monitoring and observability platform enable ML teams to spot errors immediately, troubleshoot why they occurred, and enhance overall model performance across structured and unstructured data.
Arize AI revealed its machine learning (ML) observability platform on Google Cloud Marketplace. This extension of the company's cooperation with Google Cloud will assist Arize in delivering its platform - which records billions of model predictions daily - to additional clients internationally.
"AI continues to change the way organizations automate operations and deliver innovative products and solutions to customers," said Drew Bradstock, Director, GKE Product Management, Google Cloud. "We're proud to support the growth of innovators like Arize with the infrastructure, cloud technologies, and go-to-market expertise needed to empower more customers and their machine learning teams with robust ML observability solutions."
Customers using Google Cloud may quickly install Arize to their cloud environment now that Arize is available on Google Cloud Marketplace. In addition, teams can begin optimizing their ML troubleshooting efforts with Arize in minutes, thanks to purpose-built processes and analytics for model performance management, drift detection, data quality checks, or model validation. This will also give existing Arize clients better migration help when they migrate their on-premises Arize instances to Google Cloud's global infrastructure.
As part of this extended relationship, Arize will considerably expand its usage of Google Cloud technology and services and extend its platform to Google Cloud Marketplace. In addition, Arize, which operates its platform on Google Cloud's secure infrastructure, plans to expand its usage of Google Kubernetes Engine (GKE) to support hosting production, developer onboarding, and application data management as it grows to meet the rising demand for its solution.
"ML teams count on Arize to be able to handle current and future analytics complexity and scale, and we built the platform with that in mind," said Michael Schiff, Chief Architect and Founding Engineer at Arize. "Having a partner like Google Cloud has been invaluable to Arize's growth, and we look forward to delivering our solutions to more companies through this expanded partnership."
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