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  "document": {
    "abbrevTitle": "SMPTE Mot. Imag. J",
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    "abstract": "This article discusses how to create effective 5G edge media solutions. We provide a high-level overview of edge computing, key challenges for implementing an end-to-end media edge solution, and the benefits of such solutions. Media use cases impacted by 5G will be discussed. We also examine the different layers of the edge architecture including the application and network layer integrated with far-edge devices, multiaccess edge compute (MEC), and hybrid cloud environments built on a 5G network. 5G media applications integrated with advanced network functions such as slicing with closed-loop automation to optimize network and application functions for media solutions will be discussed. We will present the above in the context of implementation and conclude with lessons learned and key challenges that need to be addressed in the future.",
    "abstract$meta": {
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    "authors": [
      {
        "bio": "Ben Bendre is an associate partner at the Global Center of Excellence for Telco, Media, Entertainment (TME) Industry, IBM, New York. He is focused on driving IBM thought-leadership in telecom and media, with 5G, edge applied to real-world use cases. He has published his work on 5G and EDGE rating and charging architecture, in industry publications. He has also been a contributor to media & entertainment (M&E) industry journals in areas of AI technologies in M&E. His background is in TME enterprise architecture, operations support system and business support system (BSS/OSS) transformation, and hybrid cloud service providers. Prior to his current role, he was a founding member of IBM’s Customer Experience and Contact Center Optimization practice.",
        "name": "Ben Bendre"
      },
      {
        "bio": "Mathews Thomas is a distinguished engineer at IBM’s Telecom and Media Laboratories, Dallas, TX, with over 25 years in research and development, consulting, system integration, and industry experience working with many of the major telecom and media companies. He works with clients, partners, and standards organizations to develop innovative solutions built on IBM’s AI, analytics, blockchain, and cloud platforms with the current focus on 5G and EDGE computing. He holds over 50 patents, has over 100 publications/articles/conference presentations in the above-mentioned areas, has received many internal and external awards, and is an open group distinguished certified chief architect. He is a member of IBM’s Industry Academy and IBM’s Academy of Technology and is an IBM master inventor.",
        "name": "Mathews Thomas"
      },
      {
        "bio": "Sharath Prasad is a senior data scientist for the communications market at the IBM Industry Engineering Laboratory, Dallas, TX. He has been involved in the development of several industry solutions and customer-facing projects involving analytics, artificial intelligence (AI), edge computing, and cloud computing. His latest focus is on integrating 5G with edge computing to provide meaningful solutions to TME clients. He holds a bachelor’s degree in computer science engineering and a master’s degree in business analytics.",
        "name": "Sharath Prasad"
      },
      {
        "bio": "Utpal Mangla is a general manager responsible for the TME industry and EDGE Clouds, at IBM, New York. Before that, he was the vice president and a senior partner at IBM. He is a recognized Global Leader of IBM’s TME industry. He is focused on driving AI, 5G edge, hybrid cloud, and blockchain innovations for TME clients worldwide. In his role as a senior executive in the business and thought leader in emerging technologies, his mission is to fuel growth by building, selling, and implementing differentiated competitive market service solution offerings to meet the critical business imperatives of our customers.",
        "name": "Utpal Mangla"
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      "version": "smpte-idams-publication@v1"
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    "contentType": "orig-research",
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      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9962270/09962770.xml) via idamsIngest.js",
      "source": "parsed",
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      "version": "smpte-idams-publication@v1"
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      "holder": "SMPTE",
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        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9962270/09962770.xml) via idamsIngest.js",
        "source": "parsed",
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        "version": "smpte-idams-publication@v1"
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      "year": "2022",
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        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9962270/09962770.xml) via idamsIngest.js",
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      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9962270/09962770.xml) via idamsIngest.js",
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      "version": "smpte-idams-publication@v1"
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    "docLabel": "SMPTE Motion Imaging Journal ( Volume: 131, Issue: 10, 2022)",
    "docLabel$meta": {
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      "source": "parsed",
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      "version": "smpte-idams-publication@v1"
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    "docTitle": "Creating Transformational Media Solutions Using 5G Edge Computing",
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      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9962270/09962770.xml) via idamsIngest.js",
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    "docType": "Journal Article",
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    "doi": "10.5594/JMI.2022.3207817",
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    "href": "https://doi.org/10.5594/JMI.2022.3207817",
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    "issn": {
      "electronic": "2160-2492",
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        "confidence": "high",
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      "print": "1545-0279",
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    "issn$meta": {
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    "journalAcronym": "MIJR",
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    "journalTitle": "SMPTE Motion Imaging Journal",
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    "keywords": [
      "5G",
      "Artificial Intelligence",
      "Edge Computing",
      "Hybrid Multi Cloud"
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      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9962270/09962770.xml) via idamsIngest.js",
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    "number": "10",
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    "pages": "8–19",
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    "publicationDate": "2022-11-01",
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