HPE launches AI and deep learning initiatives

HPE deep learning

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Hewlett Packard Enterprise (HPE) has introduced new initiatives to help enterprises ramp up, optimise and scale the use of artificial intelligence (AI) to improve their demand forecasting and operational efficiency, while increasing sales.

“Global tech giants are investing heavily in AI, but the majority of enterprises are struggling both with finding viable AI use cases and with building technology environments that support their AI workloads,” said Beena Ammanath, global vice president, Artificial Intelligence, HPE Pointnext. “As a result, the gap between leaders and laggards is widening,” she said.

HPE Digital Prescriptive Maintenance Services from HPE Pointnext leverage AI to predict when industrial equipment will fail, then suggest and automate the correct action to fix the problem before harm is done, increasing the productivity of the industrial equipment. The solution uses enterprise data including real-time and batch data from Internet of Things (IoT) devices, data centres, and the cloud.

HPE Artificial Intelligence Transformation Workshop is an interactive one-day workshop in which HPE Pointnext AI experts help enterprises assess their data and advanced analytics needs, then create a customised high-level plan to accelerate their AI exploration to develop AI use case implementations.

HPE Apollo 6500 Gen10 System is a computing system designed to reduce AI training time to accelerate deep learning business outcomes, using eight GPUs to deliver just over 3x faster model training compared to previous generations.

In addition, HPE has extended its AI partnerships, signing a reseller agreement with WekaIO to sell the WekaIO MATRIX file storage software for better storage performance in AI environments.

“The HPE Apollo 6500 Gen10 System is purpose-built to enable organisations of all sizes realise the benefits of deep learning faster than ever before,” said Pankaj Goyal, vice president, Hybrid IT Strategy and AI, HPE.

“HPE’s domain expertise, services, technologies and engineering ties to ecosystem partners promise to play an important role in driving AI adoption into enterprises in the next few years,” said Steve Conway, senior vice president, Hyperion Research.

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