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Fred Lherault , Field CTO , EMEA , Pure Storage well as network and data abstraction layers to ensure that their applications are deployed in the same manner regardless of location . This further enables innovation by creating simplicity in IT operations and freeing up time from complex , cumbersome management or data movement tasks .
on site leads to more straightforward compliance . Not only that ; when transmitting to the data centre , the Edge can encrypt packets of data , which may be important if the data centre is governed by different data security laws than the Edge location .
5 . Innovation
Technologies such as AI and ML are gaining widespread acceptance in the region because businesses know they can enhance competitiveness . Edge Computing enables the latest in AI , automation and the Internet of Things ( IoT ) by feeding algorithms the latest and most pertinent datasets .
The competitive edge
Transporting data from the Edge to a centralised data centre for processing brings with it cost increases and latency hikes . Not only that – it ’ s not necessary to transport all data back to a centralised location . In a world where unstructured data is growing exponentially – every single piece of data isn ’ t going to add value and be strategically important to an organisation . There needs to be a gatekeeper – both a physical device and also a skilled person who can differentiate between strategic and non-strategic information which doesn ’ t need to be moved around . This differentiation will enable innovation and provide competitive advantage .
Sensors connected to Edge machinery can act on ML models by passing far less data back and forth than was used to create the model in the first instance . It speeds up time to action from an AI or ML algorithm because there isn ’ t time lost to network latency and the amount of data being moved is minimised to only the essential . Therefore , the rate to insight is vastly increased , which can improve innovation .
In addition , a large amount of innovation has already appeared in terms of automation , containerisation and distributed analytics . This means there ’ s never been a better time to run distributed applications and data . Organisations that are looking to manage Edge deployments are now able to use containerisation as
Edge locations can be managed simply with automation : Infrastructure-as-Code can deploy and maintain across many sites easily , no matter if they are Edge or centrally located . A distributed analytics platform can then analyse data from anywhere without bringing it back to a central location first . This will speed up time to insight and add a further level to differentiation .
Faster response times for decision-making at an Edge location , resiliency and protecting operations are all reasons why organisations should be looking seriously at Edge Computing and implementing solutions in the near future if they haven ’ t already . Organisations that do not see the Edge as a target for investment will soon wonder why their competitors are outperforming them . p
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