Hewlett Packard Enterprise 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 workloads. 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.
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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.
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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.