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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 8. Disruptions in IoT

With the Internet of Things paradigm sensing increasing penetration in every industrial vertical, we have witnessed phenomenal disruptions in the IoT fraternity. Success stories are shooting up in every industrial vertical by demonstrating the value and potential of IoT. Artificial intelligence, machine learning, deep learning, robotics, genomics, cognitive computing, fog computing, edge computing, smart factory, and a plethora of other disruptions have emerged with IoT. We have directly or indirectly benefited from these disruptions while leveraging the innovations in technology used in our daily chores. As time progresses, we can affirmatively expect to scale this even better.

Connected assets and connected operations have now become a reality, and we will see disruptions in IoT with the convergence of innovation from multiple disciplines. To name a few, the increasing volume of data has fostered the growth of deep learning in IoT, edge computing...

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