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Autor(en): 
  • Rajan Gupta
  • Saibal Kumar Pal
  • Sanjana Das
  • Edgeai for Algorithmic Government 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  März 2023  
    Genre:  Geschichte / Politik / Kultur 
     
    AI-basedDecisionMaking / AlgorithmicGovernment / AutomatedDecisionMaking / CloudComputing / E-Governance / EdgeComputing / EdgeIntelligence / Entwicklungsstudien
    ISBN:  9789811997976 
    EAN-Code: 
    9789811997976 
    Verlag:  Springer 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 216 mm / B 153 mm / D 12 mm 
    Gewicht:  273 gr 
    Seiten:  116 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    The book provides various EdgeAI concepts related to its architecture, key performance indicators, and enabling technologies after introducing algorithmic government, large-scale decision-making, and computing issues in the cloud and fog. With advancements in technology, artificial intelligence has permeated our personal lives and the fields of economy, socio-culture, and politics. The integration of artificial intelligence (AI) into decision-making for public services is changing how governments operate worldwide. This book discusses how algorithms help the government in various ways, including virtual assistants for busy civil servants, automated public services, and algorithmic decision-making processes. In such cases, the implementation of algorithms will occur on a massive scale and possibly affect the lives of entire communities. The cloud-centric architecture of artificial intelligence brings out challenges of latency, overhead communication, and significant privacy risks. Due to the sheer volume of data generated by IoT devices, the data analysis must be performed at the forefront of the network. This introduces the need for edge computing in algorithmic government. EdgeAI, the confluence of edge computing and AI, is the primary focus of this book. It also discusses how one can incorporate these concepts in algorithmic government through conceptual framework and decision points. Finally, the research work emphasizes some design challenges in edge computing from applications viewpoint. This book will be helpful for data engineers, data scientists, cloud engineers, data management experts, public policymakers, administrators, research scholars and academicians.

      



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