Press release

Hewlett Packard Enterprise Integrates BlueData to Accelerate Artificial Intelligence and Data-Driven Innovation in the Enterprise

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Hewlett Packard Enterprise (HPE) today announced a new integrated
offering that combines the HPE BlueData software platform with HPE
Apollo systems and HPE Pointnext services, to provide customers with a
powerful solution for AI and data-driven business innovation.

Today’s announcement builds on HPE’s acquisition of BlueData in November
2018, and represents an important milestone in HPE’s ongoing
strategy for the AI and analytics market. BlueData is now available as a
standalone HPE software solution, and customers can continue to run
BlueData software on any infrastructure. With BlueData, HPE offers
customers an as-a-service experience for artificial intelligence/machine
learning (AI/ML) and analytics running on multi-vendor infrastructure
and public cloud services – leveraging the portability of containers
across on-premises, hybrid cloud, and multi-cloud environments. The
result is dramatically faster deployments down from months, to minutes,
with the agility and flexibility that data science teams need to deliver
business value.

Enterprise adoption of AI is accelerating rapidly. The number of
enterprises implementing AI grew 270% in the past four years, according
to Gartner’s recent 2019 CIO Survey1. However, organizations
face many challenges in executing a successful AI strategy, including
deployment complexity for distributed AI and analytics, as well as the
shortage of skilled data scientists and AI/ML developers.

The container-based BlueData software platform provides customers with
simple, one-click automated deployment for their AI and analytics tools
of choice – and enables enterprise-grade security, scalability and
performance. Data science teams and AI/ML developers can focus on what
they do best, with greater productivity and efficiency. These teams can
rapidly build models and develop data pipelines to drive business
innovation – without worrying about the underlying infrastructure.

“To stay a step ahead of the competition, enterprise organizations in
every industry are embarking on AI-enabled and data-driven digital
transformation initiatives,” said Milan Shetti, SVP and General Manager,
HPE Storage. “Together, HPE and BlueData will make it easier, faster,
and more cost-effective for these customers to deploy distributed AI,
machine learning, and analytics – whether on-premises, in the public
cloud, or in a hybrid architecture. It’s a game-changer.”

The combination of BlueData with HPE Pointnext services and HPE Apollo
infrastructure is ideal for enterprises with large-scale initiatives
underway for AI/ML and analytics, particularly for those with an
on-premises or hybrid cloud deployment. This includes existing HPE
customers in financial services, life sciences, healthcare,
manufacturing, retail, and other industries. Example use cases range
from fraud detection and credit risk analysis, to genomics research and
precision medicine, to improved customer experience, and more.

“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,” said
Ramesh Thyagarajan, executive director at The Advisory Board Company
(Optum). “BlueData has helped us to address these challenges, and their
containerized solution 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.”

Customers can leverage the following capabilities and services from HPE
and BlueData to accelerate their AI initiatives:

  • BlueData software subscriptions can be ordered together with HPE
    Apollo server and storage infrastructure. New bundled solutions with
    BlueData and HPE infrastructure will be made available in a variety of
    different configurations.
  • New HPE Pointnext services offerings are now available for BlueData,
    building on the deep AI/ML and big data analytics expertise and use
    case deployments from HPE Pointnext. These services help to streamline
    the software implementation and ongoing support operations, enabling
    success and faster time-to-value for AI and data-driven initiatives.
  • The BlueData team is developing new innovations for the use of
    Kubernetes in large-scale AI and analytics deployments, with ongoing
    contributions to the Kubernetes open source community.
  • A new HPE reference configuration is now available, providing guidance
    and best practices for deploying BlueData software on the HPE Elastic
    Platform for Analytics (EPA), a modular infrastructure foundation for
    scalable multi-tenant deployments with building blocks from HPE for
    compute, storage and networking.
  • HPE plans to deliver new BlueData-based reference architectures for a
    variety of different AI/ML and analytics use cases and ecosystem
    tools, including Apache Kafka, Apache Spark, Cloudera, H2O, and
    TensorFlow. These reference architectures include in-depth testing and
    validation from HPE engineering to determine the workload-optimized
    configuration for high performance and greater efficiency.

For additional insight into the BlueData software platform, please visit http://www.hpe.com/info/bluedata.

Availability

Standalone software subscriptions and bundled offerings with HPE Apollo
hardware, together with HPE Pointnext deployment services and customer
support, are now available in the US, UK, Germany, France and Singapore.

Additional Resources

About Hewlett Packard Enterprise

Hewlett Packard Enterprise is a global technology leader focused on
developing intelligent solutions that allow customers to capture,
analyze and act upon data seamlessly from edge to cloud. HPE enables
customers to accelerate business outcomes by driving new business
models, creating new customer and employee experiences, and increasing
operational efficiency today and into the future.

1https://www.gartner.com/document/3897266?ref=clientFriendlyURL