{"id":83997,"date":"2021-03-21T00:43:32","date_gmt":"2021-03-20T13:43:32","guid":{"rendered":"https:\/\/itt.com.au\/?p=83997"},"modified":"2021-03-21T00:43:32","modified_gmt":"2021-03-20T13:43:32","slug":"edge-data-drives-the-next-level-of-transformation","status":"publish","type":"post","link":"https:\/\/itt.com.au\/edge-data-drives-the-next-level-of-transformation\/","title":{"rendered":"Edge Data drives the next level of transformation"},"content":{"rendered":"\n
When it comes to accelerating digital transformation, Hewlett Packard Enterprise\u2019s intelligent edge helps you drive growth and efficiencies by extracting more from the immense quantity of data generated by the digitisation of billions of things.<\/p>\n\n\n\n
Edge computing is a distributed, open IT architecture that features decentralised processing power, enabling mobile computing and Internet of Things (IoT) technologies. In edge computing, data is processed by the device itself or by a local computer or server, rather than being transmitted to a data centre.<\/p>\n\n\n\n
The move to Edge computing is already delivering results – everywhere. New experiences are being created. Operations are being made smarter. And more wireless is being deployed to make it all happen. Edge computing is creating new experiences, accelerating operations, and evolving infrastructures for 5G.<\/p>\n\n\n\n
There are many kinds of edges: a manufacturing floor, a building, a campus, a city, a crop field, a wind farm, a power plant, an oil rig, a sports arena, and more. Massive amounts of data are created and can be collected and analysed at every edge. When used in context, and in a timely manner, this real-time data can yield all sorts of interesting and invaluable insights. Edge computing use cases include:<\/p>\n\n\n\n
Analysts predict that by 2022, 75 percent of enterprise-generated data will be created and processed outside the traditional centralised data centre or cloud.<\/p>\n\n\n\n
Companies new to edge computing won\u2019t arrive at a fully developed program overnight. There are many possibilities to explore and capabilities to consider. You need to build knowledge and relationships with operations technology and line-of-business teams, modernise infrastructure, find a pilot project, and then when all of that is done, learn how to scale.<\/p>\n\n\n\n
To fully appreciate the power of Edge Computing, we need to examine the one resource we cannot manufacture or store: TIME.<\/p>\n\n\n\n
The challenge is that decisions must be made in in REAL TIME. Here we define real time to be the maximum allowable time from when a condition is observed to the time corrective action must be completed. Today\u2014for many businesses and processes, this time window of opportunity is measured in micro-seconds.<\/p>\n\n\n\n
The decision-loop must complete data capture, data analysis and implement an action within this window of opportunity. If the process takes too long, the opportunity has vanished and is lost.<\/p>\n\n\n\n
As more nuanced data leads to better decisions, the time it takes to transfer the captured data set to a central compute entity\u2014such as the Data Centre or a Public Cloud takes too long. What Edge Computing does is that it REMOVES the data transfer delay making new operations at the Edge feasible.<\/p>\n\n\n\n
Because real-time decision-making and action-taking is a universally desirable capability, Intelligent Edge Computing has broad applicability. We have provided some industry use cases below:<\/p>\n\n\n\n
Fortunately, many use cases serve as inspiration for your own edge computing blueprint however every organisation has differing requirements. To help you develop your blueprint we have developed our \u201cEdge Nxt Guide\u201d <\/strong>which will help you address key areas of consideration in your planning, such as:<\/p>\n\n\n\n Handling high-volume data formats:<\/strong> such as video for facial and object recognition and quality control are excellent edge use cases. Also, predictive analytics in industrial settings require data centre-class edge computing power for maintenance and autonomous operations.<\/p>\n\n\n\n Architectural decisions required:<\/strong> different use cases need different levels of compute and bandwidth at the edge. Expect vendors to package basic architectures that IT needs to customise<\/p>\n\n\n\n New partnerships to build:<\/strong> Operations technology (OT) teams often buy technology but IT is tasked with maintenance. IT pros also benefit from deeper understanding of IOT.<\/p>\n\n\n\n Key challenges ahead:<\/strong> Developing the edge security framework, applying data management at vast scale and in new contexts, learning new skills, and working well with OT are just a few hurdles between you and the edge.<\/p>\n \t \t","protected":false},"excerpt":{"rendered":" <\/p>\n","protected":false},"author":1,"featured_media":83998,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"default","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"default","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"footnotes":""},"categories":[11],"tags":[4],"yoast_head":"\n