{"id":225118,"date":"2024-07-09T08:37:20","date_gmt":"2024-07-09T15:37:20","guid":{"rendered":"https:\/\/zpesystems.com\/?p=225118"},"modified":"2024-07-09T08:37:26","modified_gmt":"2024-07-09T15:37:26","slug":"applications-of-edge-computing-zs","status":"publish","type":"post","link":"https:\/\/zpesystems.com\/applications-of-edge-computing-zs\/","title":{"rendered":"Applications of Edge Computing"},"content":{"rendered":"

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The edge computing market is huge and continuing to grow. A recent study projected that spending on edge computing will reach $232 billion<\/a> in 2024. Organizations across nearly every industry are taking advantage of edge computing\u2019s real-time data processing capabilities to get immediate business insights, respond to issues at remote sites before they impact operations, and much more. This blog discusses some of the applications of edge computing for industries like finance, retail, and manufacturing, and provides advice on how to get started.<\/p>\n

What is edge computing?<\/h2>\n

Edge computing involves decentralizing computing capabilities and moving them to the network\u2019s edges. Doing so reduces the number of network hops between data sources and the applications that process and use that data, which mitigates latency, bandwidth, and security concerns compared to cloud or on-premises computing.<\/p>\n

Learn more about <\/b>edge computing vs cloud computing<\/b><\/a> or <\/b>edge computing vs on-premises computing<\/b><\/a>.<\/b><\/p>\n

Edge computing often uses edge-native applications that are built from the ground up to harness edge computing\u2019s unique capabilities and overcome its limitations. Edge-native applications leverage some cloud-native principles, such as containers, microservices, and CI\/CD. However, unlike cloud-native apps, they\u2019re designed to process transient, ephemeral data in real time with limited computational resources. Edge-native applications integrate seamlessly with the cloud, upstream resources, remote management, and centralized orchestration, but can also operate independently as needed.
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Applications of edge computing<\/h2>\n
\n\n\n\n<\/colgroup>\n\n\n\n\n\n\n\n\n
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Industry<\/span><\/p>\n<\/td>\n

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Applications<\/span><\/p>\n<\/td>\n<\/tr>\n

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Financial services<\/span><\/a><\/p>\n<\/td>\n

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    \n
  • \n

    Mitigate security and compliance risks of off-site data transmission<\/span><\/p>\n<\/li>\n

  • \n

    Gain real-time customer and productivity insights<\/span><\/p>\n<\/li>\n

  • \n

    Analyze surveillance footage in real-time<\/span><\/p>\n<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n

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Industrial manufacturing<\/span><\/a><\/p>\n<\/td>\n

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    \n
  • \n

    Monitor and respond to OT equipment issues in real-time<\/span><\/p>\n<\/li>\n

  • \n

    Create more efficient maintenance schedules<\/span><\/p>\n<\/li>\n

  • \n

    Prevent network outages from impacting production<\/span><\/p>\n<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n

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Retail operations<\/span><\/a><\/p>\n<\/td>\n

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    \n
  • \n

    Enhance the in-store customer experience<\/span><\/p>\n<\/li>\n

  • \n

    Improve inventory management and ordering<\/span><\/p>\n<\/li>\n

  • \n

    Aid loss prevention with live surveillance analysis<\/span><\/p>\n<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n

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Healthcare<\/span><\/a><\/p>\n<\/td>\n

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    \n
  • \n

    Monitor and respond to patient health issues in real-time<\/span><\/p>\n<\/li>\n

  • \n

    Mitigate security and compliance risks by keeping data on-site<\/span><\/p>\n<\/li>\n

  • \n

    Reduce networking requirements for wearable sensors<\/span><\/p>\n<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n

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Oil, gas, & mining<\/span><\/a><\/p>\n<\/td>\n

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    \n
  • \n

    Ensure continuous monitoring even during network disruptions<\/span><\/p>\n<\/li>\n

  • \n

    Gain real-time safety, maintenance, and production recommendations<\/span><\/p>\n<\/li>\n

  • \n

    Enable remote troubleshooting and recovery of IT systems<\/span><\/p>\n<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n

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AI & machine learning<\/span><\/a><\/p>\n<\/td>\n

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