Hewlett Packard Enterprise (HPE) plans to invest $4 billion in Intelligent Edge technologies and services over the next four years.
HPE said it will focus on assisting enterprise customers turn data – from every edge to cloud – into intelligence with this investment.
Data will be created at the edge. Data, for example, will be created in an oil rig, a retail store floor or a medical device.
Enterprise CIOs need to analyse data — before turning that data into intelligence — at the edge instantaneously, with zero tolerance for friction or latency.
Ashish Nadkarni, in an IDC report, said CIOs and other IT leaders must prepare their wider organization and key stakeholders for the necessary steps to successfully deploy and manage an Edge Computing infrastructure.
“Enterprises will require distributed clouds that enable real-time insights and personalized experiences exactly where the action is happening,” said Antonio Neri, president and chief executive officer of HPE.
A research report from Grand View Research said the global edge computing market size was valued at USD 158.3 million in 2016.
Some of the companies operating in the edge computing market are Aricent, Amazon Web Services (AWS); Cisco Systems, General Electric, Hewlett Packard Enterprise (HPE), Huawei Technologies, International Business Machines (IBM); Intel, Microsoft and SAP.
Research firm Gartner says 75 percent of enterprise-generated data will be processed outside the traditional, centralized data center or cloud by 2022 against less than 10 percent in 2018.
With Aruba, a Hewlett Packard Enterprise company, HPE is already a leader in Intelligent Edge technology, including wireless LAN, campus switching, security, location-based services, edge computing, and analytics and assurance.
Aruba and HPE Pointnext services are helping Gatwick Airport achieve its goal of becoming the most technologically advanced airport in the world.
HPE’s Edge systems are helping Texmark create the refinery of the future which will make the manufacturing of chemicals safer and more efficient.
HPE is helping Streamr grow their marketplace for data monetization by collecting and storing data from an individual car on a blockchain, ultimately giving control of the data to the driver.
HPE will invest in research and development to advance and innovate new products, services and consumption models across a number of technology domains such as security, AI and machine learning, automation and edge computing.
HPE will continue to advance Memory-Driven Computing, which will accelerate the speed, accuracy and efficiency of localized computing at the edge.
HPE will invest in open standards and open source technologies, cultivate communities of software, AI, and network engineers, and further develop its ecosystem through new and expanded partnerships.
