Arize AI introduces the next generation of its machine learning observability platform, becomes self-service for any organization looking to optimize AI investments

BERKELEY, Calif., March 29, 2022 /PRNewswire/ — Arize AI, the leader of Machine Learning (ML) Observability and Model Performance Monitoring, today showcased the next generation of its ML Observability Platform at its Arize Summit: Observe 2022.

Arize AI (PRNewsfoto/Arize AI)

Arize is the industry’s first and only comprehensive ML observability and model performance tracking purpose-built platform to solve the bottlenecks and troubleshooting issues experienced by thousands of ML Engineersdata scientists and other practitioners responsible for deploying and maintaining ML models.

With this release, Arize marks a significant milestone in its evolution, becoming the first ML observability company to offer a full suite of self-service sign-up options for every organization, including a free offering that allows ML engineers to get started easily in minutes.

The next-generation Arize platform is battle-proven, deployed by some of the world’s most respected and advanced ML organizations to help quickly detect issues as they arise, resolve issues, and improve overall performance of the model. In total, Arize processes hundreds of billions of predictions per month.

The release includes enhancements to platform features used daily by ML engineers tasked with solving some of their organization’s most important challenges, enabling teams to better:

Monitor and identify drift–Identify drift between model dimensions and values. Follow for prediction, data and conceptual drift across model dimensions and values, and compare training, validation, and production environments.

Ensure data integrity– Ensure the quality of model data inputs and outputs with automated checks for missing, unexpected, or extreme values.

Improve model performance–Use ML Performance Tracking to automatically identify the source of model performance issues and trace back to underlying data issues.

Take advantage of explainability– Learn how a model dimension affects prediction distributions and leverage SHAP to explain feature importance for specific cohorts.

Introducing Arize’s New Self-Service Options

One of the first pioneers and leader of machine learning (ML) observability and monitoring, Arize AI is already tracking hundreds of billions of predictions per month on behalf of large enterprises and disruptive startups.

Arize’s new self-service options remove barriers to adoption to ensure that every organization can detect, cause, and resolve model performance issues faster, regardless of the number of models deployed in production.

New users can register here. Featuring easy integration via SDK or file ingestion from leading cloud storage providers, Arize allows ML teams to start monitoring and troubleshooting model performance in minutes.

“The reality today is that most teams are just monitoring ‘red light’ patterns; go-ahead” and have yet to embrace true ML observability with ML performance tracking to identify the source of model performance issues before they impact customers or the bottom line,” said the co- founder and product manager of Arize Aparna Dhinakaran. “We’re changing that with a platform purpose-built to tackle the toughest ML observability challenges of the world’s most respected organizations. Customers of all sizes can now try, buy, and deploy our model monitoring capabilities. AI and expand their model coverage as their needs change.”

Free tier kicks off AI observability and pattern monitoring

In a recent investigation of more than 900 data scientists, engineers, and executives, Arize found that 84.3% of data scientists and ML engineers say the time it takes to detect and diagnose problems with a model is a problem for their teams at least in part time. This challenge is especially significant when teams rely on solutions that are not optimized to quickly detect, cause, and resolve model performance issues.

New Arize customers can now choose from Free, Pro, Business and Enterprise versions that directly correspond to the number of models, features used and predictions in production. Any organization deploying any Arize tier can easily add new capabilities and advanced features as their needs grow.

The free version of Arize gives access to the full version of the platform for a maximum of two models, 500 features per model and 500K monthly production forecasts.

About Arize AI

Arize AI is a Observability of machine learning platform that helps ML practitioners successfully move models from research to production with ease. Arize is automated model monitoring and the analytics platform help ML teams quickly detect problems when they arise, determine why they happened, and improve overall model performance. By connecting offline training and validation datasets to online production data in a central inference store, ML teams can streamline Model Validation, drift detection, data quality checksand model performance management.

Arize AI acts as a guardrail over deployed AI, providing transparency and introspection into historically black box systems to ensure increased efficiency and effectiveness. Responsible AI. To learn more about Arize or machine learning observability and monitoring, visit our Blog and resource center.

Media Contact: Kristal Kirkland[email protected]



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