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Smarter Decisions - The Intersection of Internet of Things and Decision Science

You're reading from   Smarter Decisions - The Intersection of Internet of Things and Decision Science A comprehensive guide for solving IoT business problems using decision science

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Product type Paperback
Published in Jul 2016
Publisher Packt
ISBN-13 9781785884191
Length 392 pages
Edition 1st Edition
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Author (1):
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Jojo Moolayil Jojo Moolayil
Author Profile Icon Jojo Moolayil
Jojo Moolayil
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Table of Contents (10) Chapters Close

Preface 1. IoT and Decision Science FREE CHAPTER 2. Studying the IoT Problem Universe and Designing a Use Case 3. The What and Why - Using Exploratory Decision Science for IoT 4. Experimenting Predictive Analytics for IoT 5. Enhancing Predictive Analytics with Machine Learning for IoT 6. Fast track Decision Science with IoT 7. Prescriptive Science and Decision Making 8. Disruptions in IoT 9. A Promising Future with IoT

Chapter 2. Studying the IoT Problem Universe and Designing a Use Case

IoT is spread across the length and breadth of the industry. It has touched every possible industry vertical and horizontal. From consumer electronics, automobiles, aviation, energy, oil and gas, manufacturing, banking, and so on, almost every industry is benefiting from IoT. Problems arise in each of these individual business areas that need to be solved connoting the industry it is addressing, and therefore people often segregate the wide spectrum of IoT into smaller and similar groups. Thus, we see names such as Industrial IoT, Consumer IoT, and so on being referenced quite often these days. Keeping aside these broad divisions, we can simply divide the problems to solve in IoT into two simple categories, that is, 'Connected Operations' and 'Connected Assets'.

In this chapter, we will study about the IoT problem universe and learn to design a business use case by building a blueprint for...

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