• The Benefits of Edge Computing



      Traditional methods for processing data require large data transfers between (a) end users, IoT sensors, POS devices, “edge” data centers, and others; and (b) centralized systems, such as cloud or on-premise infrastructure. The latency inherent in these transfers delays both organizations and end users from acting on data-driven insights, often at a competitive disadvantage. Edge computing optimizes these data exchanges by shifting more computing power to edge technologies themselves, reducing their dependency on centralized systems. This can be critical in sensitive manufacturing operations, for example, or when end users are customers for whom timely results are critical.



      Scaling centralized resources like data centers and even cloud infrastructure can be costly and often exceeds an organizations’ incremental needs. Scaling compute resources at the edge allows an organization to expand its network and computing power without large investments in centralized infrastructure. An organization can optimize how its computing power is distributed as it scales as well, preventing bandwidth issues common when scaling traditional infrastructure.



      Traditional infrastructure becomes more vulnerable as organizations add distributed devices or allow end users to access resources through unapproved and potentially compromised networks. Bad actors are increasingly seeking out these vulnerabilities within organizations of all sizes as well. Edge computing reduces these vulnerabilities by limiting the amount of business-critical data exposed when transferring between edge and centralized systems. Higher compute power at the edge means organizations can push more sophisticated security functions to edge devices as well.



      Organizations can localize essential functions to edge devices—such as data collection, processing, or UI features—ensuring connection loss doesn’t disrupt critical functions in those remote environments. This way, IoT sensors can continue collecting, storing, and processing data on a limited basis in a way that nonetheless allows operations to continue until their connection is restored. End users can access critical resources even as they wait for their connections to be restored as well. Data center downtime needn’t shut down entire networks a result.



      Edge computing allows organizations to qualify, categorize, and optimize the distribution and computing of data. That means non-critical data can remain at the edge for processing, while only business-critical data is processed, isolated, and transferred between edge resources and core infrastructure. Minimizing the transfer of non-critical data in this way can drive real cost savings for organizations. Accelerating computational power at the edge can drive greater operational efficiencies and business results, increasing the efficacy and ROI of edge investments as well.



      Compute capabilities at the edge needn’t fall into a single category. Organizations can adopt a wide variety of edge devices and systems—from unique end-user dashboards to differing IoT devices, each with unique functions. Organizations can scale their adoption of edge systems both quickly and incrementally, optimizing their acquisition of new edge capabilities as they grow. This is especially useful when expanding into new markets or taking advantage of new data sources in a timely way, without the cost and time associated with scaling centralized IT resources.



      With edge computing, end users needn’t conform to centralized systems that are optimized for the organization, and not for them. When employee- or customer-facing systems are at the edge, organizations can optimize features and functionalities for those end users instead. For example, employees can benefit from unique, purpose-built dashboards they can augment through edge-based self-service functionalities. Users who are customers can do more to personalize their experiences, or organizations can provide a wider variety of edge capabilities to a diverse customer base as well.



      Depending on the use case, edge computing can allow users to control what personal data is shared with centralized systems or remains at the edge. Employees who use edge computational resources for private or confidential functions can benefit from advanced capabilities without sharing that data with centralized systems, let alone cybercriminals. Customers who wish to avoid sharing personal data with an organization can nonetheless enjoy advanced functionality at the edge as well.

      Edge Computing by Uvation

      The experts at Uvation help enterprise companies with some of the largest distributed networks in the world optimize edge computing investments for a wide variety of geographies, scenarios, devices, and end users.



      Uvation helps you determine which business-critical computational resources are best aligned with edge computing devices and systems. We start by defining the departments and business functions best-suited for edge computing applications, then help you identify specific use cases and scenarios that optimize computational power and data transfer across your distributed network.



      Our edge compute experts work with the best technology providers in the industry to help you procure the devices and software you need to make your vision a reality. We prioritize cost savings, operational excellence, and business results in technology selection and personalization, ensuring you will realize lasting returns on your investment in technology, and our partnership.



      Uvation’s implementation teams guide you as you apply your new technologies to real-world business applications. We advise you on how to encourage adoption across your teams, partners, or customers as well so you realize the value of your investment as quickly as possible. We help your teams optimize security and opportunities for scalability, ensuring you build a foundation for the long-term success of your organization as well.

      Edge Computing Statistics

      The estimated global edge computing market will reach 274 billion USD in 2025.

      274 billion USD

      By 2025, the number of deployed multi-access edge computing (MEC) nodes will reach 2 million globally.

      2 million

      By 2025, 75% of enterprise-generated data will be created and processed at the edge.


      Deploy Your Edge Computing Architecture with Uvation

      Uvation has years of experience guiding companies to the best edge computing solution for their needs. Whether you want to deploy IoT devices at the edge or improve the performance of your current infrastructure, Uvation provides you with knowledge and insights to help you custom-design your ideal solution. Uvation then works with the best providers in the industry to help you procure what you need to turn your strategy into reality.


      Connect with Uvation today to get the best edge computing strategy for your business.

      Deploy Your Edge Computing Architecture with Uvation

      How Does Edge Computing Work?

      Edge computing is often described as a technology; in fact, edge computing is an IT strategy that involves some combination of both familiar and cutting-edge technologies to achieve specific computational and business goals. Starting with a familiar on-premise, cloud, or hybrid data center, modern organizations also incorporate a variety of disparate systems such as employee mobile devices, IoT sensors in factories and warehouses, or 5G-network enabled sensors at distant locations, among others use cases.



      Edge computing localizes servers, storage, analytics, and other compute capabilities as close to the points where data is collected as possible. Hardware (e.g., IoT sensors) and software (e.g., mobile device applications) at these locations operate within their own local area networks (LANs). They coordinate with centralized data centers via mobile networks or broadband in a way that optimizes their use of LAN resources and the speed at which communications are sent to and received from centralized systems.



      Edge computing aligns with organizations’ core business intelligence (BI) applications, which integrate data from edge compute resources with other data sources within the enterprise. Remote LANs simply process more data and optimize its distribution to centralized data centers where BI technologies reside. Analysts and business users can easily access insights from that data via dashboards and other forms of data visualization without any delay in acquiring data from edge compute environments alongside data from other resources.

      Industries and Use Cases for Edge Computing

      Organizations across the public and private sector are deploying edge computing for a wide variety of business-critical functions. Here are some that you should be aware of.


      As the amount of data healthcare organizations generate increases tenfold, healthcare professionals can leverage edge compute technologies to process that data quickly and proactively on a per-patient basis. Whether employing in-hospital technologies that analyze patient metrics within their hospital rooms, or improving diagnostic capabilities when working with patients in rural areas remotely, edge computing is expanding the capabilities and impact of healthcare professionals.


      Manufacturers can employ edge resources—such as sensors across their factories or personal devices across their teams—to optimize operations and performance. Edge computing allows sensors to not only send signals, but perform analyses of equipment performance and anticipate future breaks. Factory workers can use personal devices for individual task functions quickly and effectively before coordinating with centralized data resources via mobile networks or Wi-Fi.


      Retailers are identifying new edge compute applications in both physical stores and on those retailers’ mobile apps when accessed by a customer. As data is processed and analyzed at each of these endpoints, they can provide valuable, real-time information through core BI functions, enabling retailers to act quickly on new sales, marketing, or product development opportunities, among others.


      Edge computing can simplify the exchange of data across partners within the world’s complex global supply chains. As goods and components transition from one partner to another, every partner in the supply chain can access real-time data about a relevant item’s progress—from the original manufacturer or supplier to the retailer who sells the final product—boosting visibility and trust while reducing supply chain risk.


      Field service teams can use edge computing to predict and prevent future failures in machinery used by their customers, even when those customers are far away. Those teams can reduce downtime for customers, as well as optimize how they dispatch service technicians based on analyses provided by their edge compute resources.

      Contact Uvation today to learn more about our edge computing offerings.

      Get in touch for a consultation call, or get answers to any questions you might have.

      Contact Uvation today to learn more about our edge computing offerings.