HPE EZMERAL ML OPS

A solution that brings DevOps-like agility to the entire machine learning lifecycle.

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Forrester: Operationalize Machine Learning
Forrester: Operationalize Machine Learning
Forrester conducted an online survey to understand complexities of machine learning and discover how to leverage ML Ops to deploy machine learning at scale in the enterprise.
Read the Forrester Report

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.

Model Build

Containerized sandbox environments with a variety of machine learning and deep learning applications and tools
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Model Training

Scalable training environments with secure access to big data
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Model Deployment and Monitoring

Flexible and scalable endpoint deployment with end-to-end monitoring
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Collaboration

Enable DevOps-like processes with code, model, and project repositories
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Security and Control

Secure multi-tenancy with integration to enterprise authentication mechanisms
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Hybrid Deployment

Build, train, and deploy models either on premises, in the cloud, or in a hybrid model
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    increased profitability 1
  • 52
    better customer experience 2
  • 49
    better adoption of data science best practices 3

Technical videos

07:24
Operationalizing the ML Lifecycle
2:34
HPE Ezmeral ML Ops: Overview of the entire machine learning lifecycle
7:04
Machine Learning with Symbolic Data
19:29
Machine Learning with Symbolic Data - Extended

FASTER TIME TO VALUE FOR AI / ML

 

HPE 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.

Uitdaging

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

Oplossing

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

“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)

Resultaat

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

Watch the Video