Overview
- Blends both practical industry examples and how data science and machine learning are used in the Industrial Internet of Things enterprise to enhance its business opportunities and competitiveness
- Provides managers and decision makers with practical and proven real-world examples on analytic solutions implemented in IIoT that address important business opportunities
- Provides examples where machine learning has the potential to generate new satisfying jobs in industry, and how data analytic algorithms are used to tackle complex industrial problems where data plays an important role
- Offers a blueprint on how to manage complex advanced analytic projects to increase the probability of resulting in successful implementations in the IIoT enterprise
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Table of contents (7 chapters)
Keywords
About this book
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 dataanalytics 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.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Data Analytics in the Era of the Industrial Internet of Things
Authors: Aldo Dagnino
DOI: https://doi.org/10.1007/978-3-030-63139-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-63138-3Published: 06 February 2021
Softcover ISBN: 978-3-030-63141-3Published: 06 February 2022
eBook ISBN: 978-3-030-63139-0Published: 05 February 2021
Edition Number: 1
Number of Pages: XVII, 133
Number of Illustrations: 8 b/w illustrations, 53 illustrations in colour
Topics: Computer Communication Networks, Industrial and Production Engineering, Big Data/Analytics, Innovation/Technology Management