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|HPE Introduces New Set of Artificial Intelligence Platforms and Services
|Posted: Wed Oct 25, 2017 11:37:59 AM
PALO ALTO, Calif., Oct. 25, 2017 (GLOBE NEWSWIRE) -- Hewlett Packard Enterprise (NYSE:HPE) today announced new purpose-built platforms and services capabilities to help companies simplify the adoption of Artificial Intelligence, with an initial focus on a key subset of AI known as deep learning.
Inspired by the human brain, deep learning is typically implemented for challenging tasks such as image and facial recognition, image classification and voice recognition. To take advantage of deep learning, enterprises need a high performance compute infrastructure to build and train learning models that can manage large volumes of data to recognize patterns in audio, images, videos, text and sensor data.
Many organizations lack several integral requirements to implement deep learning, including expertise and resources; sophisticated and tailored hardware and software infrastructure; and the integration capabilities required to assimilate different pieces of hardware and software to scale AI systems. To help customers overcome these challenges and realize the potential of AI, HPE is announcing the following offerings:
“We live in a world today where we’re generating copious amounts of data, and deep learning can help unleash intelligence from this data,” said Pankaj Goyal, vice president, Artificial Intelligence Business, Hewlett Packard Enterprise. “However, a ‘one size fits all’ solution doesn’t work. Each enterprise has unique needs that require a distinct approach to get started, scale and optimize its infrastructure for deep learning. At HPE, we aim to make AI real for our customers no matter where they are in their journeys with our industry-leading infrastructure portfolio, AI expertise, world-class research and ecosystem of partners.”
In its mission to help make AI real for its customers, HPE offers customers a flexible consumption services for HPE infrastructure, which avoids over-provisioning, increases cost savings and scales up and down as needed to accommodate the needs of deep learning deployments.
“Artificial intelligence has the ability to transform scientific data analysis, making predictions and surprising connections,” said Paul Padley, professor of physics and astronomy, Rice University. “We are at a precipice where the AI revolution can now have a profound impact on reshaping innovation, science, education and society, at large. Access to the HPE AI innovation centers will help us continue to advance our research efforts in our journey to making academic progress by using the tools and solutions available to us through HPE.”
AI is becoming mainstream in the consumer world with applications such as voice interfaces, personal assistants and image tagging. However, the implications of AI go beyond mainstream consumer use cases to fields including genomic sequencing analytics, climate research, medical science, autonomous driving and robotics. These technology advancements and breakthroughs have been – and continue to be – made possible by deep learning.
“As deep learning-based AI advances, it will transform science, commerce and the quality of our lives by automating tasks that don't require the most complex human thinking," said Steve Conway, senior vice president, Hyperion Research. “HPE’s infrastructure and software solutions are designed for ease-of-use and promise to play an important role in driving AI adoption into enterprises and other organizations in the next few years.”