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Herausgeber: 
  • D. Satishkumar
  • M. Sivaraja
  • Using Real-Time Data and AI for Thrust Manufacturing 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  März 2024  
    Genre:  Ratgeber 
     
    AI Technology and Robotics / AI-Based Document Processing / AI-Empowered Purchasing and Shipping / AI-Powered Manufacturing Tools / Artificial Intelligence / Benefits for Business Productivity of AI / Daily Opera
    ISBN:  9798369326152 
    EAN-Code: 
    9798369326152 
    Verlag:  IGI Global 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 260 mm / B 183 mm / D 25 mm 
    Gewicht:  901 gr 
    Seiten:  376 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    In the dynamic world of manufacturing, the industry has grappled with ongoing issues such as expensive machine maintenance, operational inefficiencies, and the production of defective products. The need for informed decision-making to maintain quality, meet deadlines, and prevent disruptions is more crucial than ever. Enter Using Real-Time Data and AI for Thrust Manufacturing , a groundbreaking book that addresses these challenges head-on. As Industry 4.0 transforms the manufacturing sector through the integration of the Internet of Things (IoT) and artificial intelligence (AI), this book serves as a beacon for academic scholars and industry professionals alike, offering profound insights into the world of AI-driven industry solutions. The objective of this book is clear-to revolutionize the manufacturing sector by leveraging human expertise and AI-driven data technologies. By delving into the realms of Industry 4.0, IoT, and AI, the book systematically tackles issues such as costly downtime, inefficient processes, and the production of substandard products. With a focus on turning raw data into meaningful insights, the book explores AI applications like machine learning and deep learning, natural language processing, and machine vision. From predictive maintenance to improved demand forecasting, quality assurance, inspection, and warehouse automation, the book positions AI as the linchpin of "Industry 4.0," ensuring not only cost savings but also safety improvements and supply-chain efficiencies.

      



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