According to the new research promoted by Hpe Aruba, the ability for companies to obtain business value from data depends on the capabilities they have to collect, process, store and analyze them at the Edge level.

In the face of increasingly congested networks with huge volumes of data generated by users and IoT devices, IT managers are aware of how real-time data analysis in the nearest vicinity of the Edge produces higher levels of efficiency and insight that, to them The global study of 2,400 decision makers IT (ITDM), including 100 Italian companies, says 72% of them actively use Edge technologies to achieve new results while another 16% plan to do so by next year.

An increasing percentage (82%) recognizes the urgency of implementing integrated systems to manage data on the Edge.

The maturity level of the Edge deployment of a company is related to its ability to derive value from the data collected by the devices. 78% of ITDMs in production with Edge technologies claim to be able to use these data with the aim of improving business decisions or processes; a figure that must be compared with 42% of those still in the pilot phase and with the

The research is part of the report • At the Edge of Change: Navigating the New Data Era • which evaluates the implications of data processing shift from cloud to Edge • IT The results of the report reveal interesting aspects.

Hpe, companies consider the Edge as the solution against a large amount of data

The benefits of Edge technologies become increasingly important at the same time as the growing volumes of data generated in networks, which ITDMs must face taking into account costs and latency that are obtained by storing and processing them directly on the Edge.

33% of ITDMs say that there are too many data to manage for our systems and 28% say that they cannot process the data quickly enough to act accordingly. Almost a quarter of the data shows budget problems (23%), skills shortages (23%) and inability to collect data from so many different sources (21%). Over half (55%) of ITDMs recognise a much faster data processing globally as a result of optimization associated with machine learning and artificial intelligence (AI) on their respective networks.

Increased efficiency and new experience are the most important factors

ITDMs report a number of benefits that derive from the acquisition and analysis of data on the Edge, from operational efficiencies to the opportunity to create new products, services and revenue flows. 53% of ITDMs highlight the improvement of efficiency and operational costs as one of the major benefits of acquiring and using data from user devices, while 47% cite an increase in labour productivity.

ITDMs are focused on using the Edge to improve safety, visibility and customer experience. At sector level, the most common cases of use of the Edge are the tracking and monitoring of individual items along the retail supply chain (51%), the use of face recognition in the hotel and hospitality sector (49%).

Concerns about costs, skills and security

Although ITDMs show an increasing interest in the processing and analysis of data on the Edge, there are concerns about several factors that hinder its adoption. According to Hpe 32% of ITDMs indicate the lack of skills, skills or understanding of Edge technologies as their main concern. The majority (92%) are convinced that they do not have part of the skills needed to help the company unlock the value of data. The figure rises to 98% and 99% of ITDM in the public and in the hotel and hospitality respectively. AI and Machine Learning skills (43%), analytical skills (41%) and technical skills (37%) are the main areas of competence in which companies are lacking. Overall, there are conflicting judgements on the implications of the Edge in terms of safety. If 57% of ITDMs claim that the connection of user devices or IoT to the Edge has made or would make their company more vulnerable, 47% indicate security enhancement as one of the main advantages of data acquisition from user devices.

Hpe, a bridge between the Edge and the cloud

Hpe’s research points out that the Edge incorporates all network domains including wired, wireless and SD-WAN domains and all environments such as Campus, Branch, Data Center and Remote Worker. Network operations teams should only consider solutions that can manage all domains and environments from a single cloud-native resource that can centralize and correlate all events and operations related to different domains. The availability and performance of the network are critical elements at the Edge level. Network operations teams should only consider solutions that can provide both specific, reliable, highly accurate and AI-based insights and automation that can solve the problems more quickly before they can impact on activity or users.

The proliferation of IoT devices that generate data from which new business results arise presents security challenges. Network operation teams should examine solutions that use AI to detect, classify and monitor these devices constantly and work transparently alongside access control solutions, so that devices are automatically positioned in the context of centralized policies that ensure their security and communication only

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