Moving to the edge provides organizations with increased agility and opportunity. Edge computing can bring significant changes, but businesses need to be ready and in the best possible position to adapt.
Edge computing is ushering in new methods of networking, computing, and conducting business. Companies are shifting away from centralized, rigid computing models and toward a more adaptable, flexible distributed computing paradigm. They are reaching out to partners and customers in novel ways, as well as enriching the lives of their own employees. However, as they move into this promising new environment, decision-makers should ask themselves some fundamental questions to ensure that their efforts remain on track and productive.
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What are the advantages of edge in terms of business?
This point may seem self-evident, but technology rollouts that improve speed, security, or processing capabilities without tangible advantages to business users are all too common. Since edge computing can be disruptive, it should be guided by the business. The investment should be predicated on how it will improve the business as well as ease pain points, as with other large technology investments. Does the company want to improve its service capabilities, such as by using sensors for preventive and predictive maintenance? The business case needs to be laid out clearly, with the appropriate technology to follow. Is it looking for a real-time view to detect and react to rapidly changing market conditions? Does this imply that the quality of life for customers will be improved?
Is society prepared for edge computing?
Moving aggressively towards edge scenarios, such as IoT and remote technologies, would necessitate increased staff collaboration and communication. For example, to influence the transfer of data from production equipment to analytics applications, the operations technology, and information technology teams will need to collaborate closely. Furthermore, corporate teams can be required to connect with stakeholders outside the organization, particularly if they are in charge of data-gathering devices and sensors. With improved capabilities, such as the capacity to detect maintenance concerns at remote or client sites before they occur, response teams will need to be ready to deploy. Furthermore, employees who are used to managing centralized data centers will need to gain a better grasp of network concerns, as well as how to manage the tsunami of data that will undoubtedly flood through businesses as edge computing expands.
Is the infrastructure in place to support edge computing?
Another form of this subject is how much edge management and processing should be handled by cloud providers. Cloud providers have the resources and capability to serve a growing network of edge devices. However, security and latency in transporting data between cloud locations and devices should be considered while making a decision. Some data may need to be processed and stored locally within devices, either for security concerns or because real-time interaction is necessary, such as a sensor correcting machine tolerances, or because of government mandates. If more processing capacity, follow-up analysis, or interaction between devices is required, moving functions to a central cloud can be necessary.