Operational machine learning at enterprise scale

Bring DevOps-like speed and agility to ML workflows with support for every stage of the machine learning lifecycle: from sandbox experimentation with your choice of ML/DL frameworks, to model training on containerized distributed clusters, to deploying and tracking models in production.

 

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A CONTAINER-BASED SOLUTION FOR THE ML LIFECYCLE

Standardize processes across the ML lifecycle to build, train, deploy, and monitor machine learning models.

What’s New

New Enterprise-Grade Solution for Machine Learning Accelerates AI Innovation

Speed time-to-value for AI projects from months to days and bring DevOps agility to your ML model lifecycle by using new HPE Machine Learning (ML) Ops. ML Ops will transform your AI initiatives from pilot projects to enterprise-grade operations by addressing the entire machine learning lifecycle.

What’s New

New Enterprise-Grade Solution for Machine Learning Accelerates AI Innovation

Speed time-to-value for AI projects from months to days and bring DevOps agility to your ML model lifecycle by using new HPE Machine Learning (ML) Ops. ML Ops will transform your AI initiatives from pilot projects to enterprise-grade operations by addressing the entire machine learning lifecycle.

FASTER TIME TO VALUE FOR AI / ML

HPE (with solutions from BlueData) provides data science teams with one-click deployment for distributed AI / ML environments and secure access to the data they need.

 

SUCCESS IN ACTION

ADVISORY BOARD (OPTUM) USES BLUEDATA TO ACCELERATE BUSINESS OUTCOMES WITH AI AND ML IN THE ENTERPRISE

Advisory Board (Optum) deploys predictive analytics and machine learning on big data using the container-based platform from HPE’s BlueData team platform. Learn how they streamlined operations and cut costs while enhancing patient care in U.S. hospitals.

Challenge

Helping hospitals across the US translate their big data into actionable insights that deliver business value.

Solution

Deployment of distributed ML and analytics applications and for the separation of compute and memory from storage.

“As a healthcare company, we have vast amounts of data, but it’s been difficult for data science teams to get access to that data and operationalize their analytics and machine learning pipelines. BlueData has helped us to address these challenges with their containerized solution that has delivered faster time-to-insights, reduced our costs, and freed up our staff to innovate. It’s paying big dividends for our organization, and we look forward to continuing our journey together.”

Ramesh Thyagarajan, Executive Director, Advisory Board (Optum)

Result

Data-driven insights needed to improve operational efficiency, reduce infrastructure costs, and enhance patient care. 

Watch the Video