By Insight Editor / 29 Apr 2021 / Topics: Data and AI Data and AI Intelligent edge
The intelligent edge is changing our relationship with data, all these actions are taking on premises, the data does not need to be sent to the cloud or a data centre to be processed.
In other words, the intelligent edge is any IT ecosystem that analyses and applies data at or near the site where it is generated to improve efficiency and innovation.
In Forrester’s Business Technographics Mobility Survey, 2020, participants were asked, “Which of the following do you believe are the biggest benefits to your organisation’s using edge computing/technologies?” The top three responses are as follows:
In short, the rationale for adopting edge technology is the implementation of AI and Machine Learning (ML) for employee and customer insights in real time.
Edge technology enables users to leverage four distinct benefits to accomplish the above. First is faster actionability, due to real-time engagement with AI allowing remote response to feedback instantly or near-instantly. Next is functionality without internet connectivity. Since the data doesn’t need to go anywhere to be acted on, it can be leveraged for certain use cases even with no internet connection. Third, edge technology supports better data aggregation to the cloud, as bringing data closer to home allows users to optimize cloud use and ensure only what’s necessary lives in the cloud.
The fourth benefit may be surprising: Edge technology is often very cost-effective. With its ability to create substantial Return on Investment (ROI), coupled with lowering cost curves, edge computing is a game changer. The cost of computing, and more importantly, the expenses tied to bandwidth and intelligent technologies have all been lowering. These drops in expenditures are enabling the whole underlying cost structure of IT, meaning it’s becoming increasingly cost-effective to do things at the edge, at a very local level. Edge computing can also reduce IT costs by keeping cloud storage under control. When you analyse and assess what has to happen at the edge, you send (and store) only necessary data to the cloud or to your private cloud — all other extraneous data is immediately discarded.
As edge enables more real-time intelligent decision-making, companies will begin to expand their cloud strategies to include IoT edge cloud, 5G mobile edge cloud and global network edge cloud. The interest is already there, and the use cases are there to prove it.
A host of previously existing technology has been enabling more actionable data insights for years, from IoT devices like drones, thermometers and sensors to operational technologies, image analytics, AI and ML, and more. With edge computing, these technologies become even more powerful. The immediacy with which edge computing enables insights to become actions is enabling radical results across all types of industries worldwide, for example:
Energy: Edge computing provides technicians with remote access to solar panels and wind turbines to gather critical data and instantly adjust to conditions.
Transportation: Edge computing enables automatic traffic responses from streetlights and message boards and makes it possible to conduct remote inspections of roadways and railways safely and without disruption of traffic.
Retail: Edge computing supports daily inventory checks, reducing manual labor and human error and improving the customer experience.
Globally, the intelligent edge is driving transformation across the entire spectrum of verticals, impacting business processes, health outcomes, community resources and more. Just a few of the industries in which we’re seeing incredible advancements in edge applications include:
Insight has already completed work with several clients to help them adopt advanced edge technologies leveraging edge computing and IoT for business improvements and innovations. In one instance, a smart vaccine fridge is helping healthcare organisations save on human resources costs and reimbursements and prevent vaccine spoilage while supporting improved inventory management. In another, a railroad company wanted to enhance its maintenance process and improve rail safety for its workers, so our team helped create a drone-based computer vision solution using IoT edge processing to prioritise images that indicate the need for maintenance.
Having a strategic and secure edge ecosystem protects and accelerates an organisation’s ability to innovate. Partnering with an experienced solutions provider like Insight can help you discover what your organisation’s unique intelligent edge could, and should, look like.
Partnering with Insight for your journey to the intelligent edge gives you expert resources for every stage of the process, from idea to Minimum Viable Product (MVP) to full-scale deployment.
1Build Integrated Technology Platforms To Accelerate Growth And Agility, Forrester Research, Inc., March 11, 2021.
2 Business Technographics® Mobility Survey, Forrester Research, Inc., July 2020.
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