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Books > Professional & Technical > Mechanical engineering & materials > Production engineering
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Data Analytics in the Era of the Industrial Internet of Things (Hardcover, 1st ed. 2021)
Loot Price: R4,102
Discovery Miles 41 020
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Data Analytics in the Era of the Industrial Internet of Things (Hardcover, 1st ed. 2021)
Expected to ship within 10 - 15 working days
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This book presents the characteristics and benefits industrial
organizations can reap from the Industrial Internet of Things
(IIoT). These characteristics and benefits include enhanced
competitiveness, increased proactive decision-making, improved
creativity and innovation, augmented job creation, heightened
agility to respond to continuously changing challenges, and
intensified data-driven decision making. In a straightforward
fashion, the book also helps readers understand complex concepts
that are core to IIoT enterprises, such as Big Data, analytic
architecture platforms, machine learning (ML) and data science
algorithms, and the power of visualization to enrich the domains
experts' decision making. The book also guides the reader on how to
think about ways to define new business paradigms that the IIoT
facilitates, as well how to increase the probability of success in
managing analytic projects that are the core engine of
decision-making in the IIoT enterprise. The book starts by defining
an IIoT enterprise and the framework used to efficiently operate. A
description of the concepts of industrial analytics, which is a
major engine for decision making in the IIoT enterprise, is
provided. It then discusses how data and machine learning (ML) play
an important role in increasing the competitiveness of industrial
enterprises that operate using the IIoT technology and business
concepts. Real world examples of data driven IIoT enterprises and
various business models are presented and a discussion on how the
use of ML and data science help address complex decision-making
problems and generate new job opportunities. The book presents in
an easy-to-understand manner how ML algorithms work and operate on
data generated in the IIoT enterprise. Useful for any industry
professional interested in advanced industrial software
applications, including business managers and professionals
interested in how data analytics can help industries and to develop
innovative business solutions, as well as data and computer
scientists who wish to bridge the analytics and computer science
fields with the industrial world, and project managers interested
in managing advanced analytic projects.
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