HPE Ezmeral Software extends the capabilities of HPE GreenLake
and provides the foundation for driving analytics and AI/ML
insights across distributed enterprises
- Global data plane federates multi-format data across cloud and
on-premises deployments for simple data access, analysis and
governance
- Fully curated, enterprise-supported solution for open-source
analytics tools improves productivity
- New SaaS approach provides predictable, transparent economics
and precise controls to optimize cost and utilization across
environments
Hewlett Packard Enterprise (NYSE: HPE) today introduced the next
step in the HPE Ezmeral Software platform, designed to help
organizations leverage data globally and deploy analytics at scale
through a predictable, software-as-a-service (SaaS) solution for
hybrid multi-cloud environments. HPE Ezmeral Software extends the
edge-to-cloud data and analytics capabilities of HPE GreenLake and
provides the data and analytics foundation for machine learning
(ML) and artificial intelligence (AI) projects. The simplified
platform now features an all-new user interface, expanded selection
of the most popular data sources and open-source tools,
interoperability across the platform and its tools, and a
consistent cloud operating experience.
Despite growing demand to create new revenue streams and
efficiencies from data, only 24 percent of enterprise data created
in 2022 was leveraged for analytics or fed into AI/ML workloads1.
This is due to several challenges that organizations of all types
and sizes face today. First, data is more siloed across multiple
clouds and different data formats and sources. Second, enterprises
grapple with analytics tools and workloads that struggle to meet
performance, cost and compliance requirements. Finally, public
cloud-based solutions bring limited data controls, unpredictable
costs and risk of vendor and data lock-in, while do-it-yourself,
open-source tools are not built for enterprise IT and security
requirements.
HPE Ezmeral Software provides a complete data and analytics
platform with predictable and transparent economics, enabling
organizations to confidently innovate with data everywhere. The
enhanced HPE Ezmeral Data Fabric Software provides the foundation
with a single, federated view of data across hybrid and multi-cloud
deployments, so organizations can easily access, analyze, and
govern data globally. The new HPE Ezmeral Unified Analytics
Software builds on this foundation and empowers developers and data
analytics professionals with self-service access to fully managed
and curated open-source tools for the complete lifecycle of
analytics and AI/ML workloads. Together, the data fabric and
analytics solutions from HPE enable organizations to harness data
across their enterprise for analytics and AI/ML projects that
improve decision-making and unlock new revenue streams.
- HPE Ezmeral Data Fabric Software provides seamless
access across multiple data sources and formats, including files,
objects, tables and streams, as well as across hybrid cloud
deployments. The software is available for the first time as a SaaS
offering and with a new intuitive user interface. Customers now
have precise controls and automated policy management for
optimizing workload placement according to performance, data
locality, sovereignty, costs and compliance.
- HPE Ezmeral Unified Analytics Software is a
comprehensive new offering for data engineering, data science and
data analytics delivered as a SaaS and self-service experience.
Customers can build data pipelines, develop, deploy and monitor
models and visualize data with evergreen tools including Apache
Airflow, Apache Spark, Apache Superset, Feast, Kubeflow, MLFlow,
Presto SQL and Ray. New connectors and data sources include
Snowflake, MySQL, DeltaLake, Teradata and Oracle. With the open and
extensible software, teams can easily add applications, locations,
and sources as needs evolve.
While competitive offerings often require customers to incur
significant costs to move data to the cloud for analysis, HPE
Ezmeral Software is hybrid by design and is deployable across the
edge, colocation, on-premises, and public cloud environments. The
location-agnostic deployment approach minimizes data ingress and
egress costs by enabling customers to run analysis where the data
and compute capabilities reside.
“Despite the hype about AI and Generative AI applications
transforming business, most companies still struggle to bring these
technologies into their basic workflows,” said Mohan Rajagopalan,
vice president and general manager, HPE Ezmeral Software. “Our
solutions address where organizations are today, empowering them to
leverage the tools they already use, so they can focus resources on
accelerating their AI, analytics, and digital modernization
journeys, instead of managing cumbersome data siloes or untested,
disconnected open-source tools.”
Enterprises Turn to HPE Ezmeral Software for AI/ML
Outcomes
The HPE Ezmeral Software value proposition and technology
offerings have resonated with customers and the portfolio achieved
double-digit year-over-year revenue growth in fiscal Q1. Customers
are using the software for fraud and risk detection in financial
services, medical research and patient healthcare, quality analysis
in manufacturing, network monitoring in telecommunications and
autonomous driving.
The financial services market is a leading industry for HPE’s
data and analytics platform. Nomura, a global financial services
group, uses AI and ML software to digitally transform financial
services and protect its assets. “Risk prediction and anomaly
detection are critical capabilities to protect our global financial
markets. These workloads require massive amounts of data to be
ingested at scale. With HPE Ezmeral Data Fabric Software, we are
able to deliver a strategic platform to ingest, store, secure
petabytes of financial data and also use a subset of it for machine
learning,” Arnab Chatterjee, vice president, global head database,
middleware and web engineering, Nomura.
Carestream Health, a global healthcare company, provides
AI-driven software to help improve patient care by enhancing the
medical images used for diagnosis. “Our mission is to provide
radiologists with as much insight as possible from medical imaging
so they can make confident, effective patient diagnoses. Using the
fully managed, open-source machine learning tools within the HPE
Ezmeral Software, we have implemented an AI-as-a-service platform
that has led to a 73% reduction in time to train our machine
learning models,” John Kopcienski, director, Rochester R&D
Center, Carestream.
Alliant provides consumer marketers across hundreds of major
brands with audience data solutions that deliver insight and
profitable outcomes. To keep pace with accelerated growth in
programmatic digital and television advertising, Alliant wanted to
further enhance processing and delivery capabilities, particularly
related to AI and machine learning.
“Alliant’s analytics tools are currently deployed on-premises
and in the cloud. HPE Ezmeral Software enables us to scale audience
creation and delivery, optimize where the data storage and analysis
occurs and reduce capital expenses through a managed services and
SaaS approach,” William Adam, chief technology officer,
Alliant.
HPE Extends Momentum in Open-Source Tools and
Analytics
Building on the growing customer interest around managed
open-source technologies, HPE established a new global center of
excellence (CoE) for HPE Ezmeral Software in Greece this April. HPE
recently opened more than 30 new positions for software engineers
and developers who have extensive skills and experience in
open-source tools, including the MLOps platform, Kubeflow, to
bolster this new CoE and has already successfully filled most
roles.
Availability and Additional Resources:
HPE Ezmeral Data Fabric Software and HPE Ezmeral Unified
Analytics Software are available now as a SaaS offering to run on
any infrastructure or public cloud.
For more detailed information on the updated HPE Ezmeral
Software portfolio, click on the links below:
- Expert Blog: Outperform your competition with hybrid data
insights
- Expert Blog: The end-to-end solution for AI and
analytics
- Analyst and Customer Insights quote sheet
Sources
1 Worldwide Global DataSphere Volume of Data Analyzed and Fed
into AI Forecast, 2023–2026: Are You Helping Your Clients Shine a
Light on Dark Data? (IDC #US50447623, 2023)
About Hewlett Packard Enterprise
Hewlett Packard Enterprise (NYSE: HPE) is the global
edge-to-cloud company that helps organizations accelerate outcomes
by unlocking value from all of their data, everywhere. Built on
decades of reimagining the future and innovating to advance the way
people live and work, HPE delivers unique, open and intelligent
technology solutions as a service. With offerings spanning Cloud
Services, Compute, High Performance Computing & AI, Intelligent
Edge, Software, and Storage, HPE provides a consistent experience
across all clouds and edges, helping customers develop new business
models, engage in new ways, and increase operational performance.
For more information, visit: www.hpe.com.
View source
version on businesswire.com: https://www.businesswire.com/news/home/20230516005256/en/
Victor O’Brien victor.obrien@HPE.com
Grafico Azioni Hewlett Packard Enterprise (NYSE:HPE)
Storico
Da Set 2023 a Ott 2023
Grafico Azioni Hewlett Packard Enterprise (NYSE:HPE)
Storico
Da Ott 2022 a Ott 2023
