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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

Autonomous cars


The final topic that we will discuss in this chapter for disruptions in IoT is autonomous cars. Autonomous cars have been surfacing the technology innovations for quite some time but are yet to hit mainstream production. Most cars that have some sort of autonomous feature are still limited only to the flagship vehicles from the premium carmakers. Google's self-driving cars have been making news for a while and have seen quite a hefty progress in the accuracy of self-driving. Autonomous cars are defined at the cusp of innovation in the industry. It combines learnings from IoT, artificial intelligence, machine learning, cognitive computing, and edge computing and delivers a world-class solution that has been fancied for a really long time. We'll understand a few important aspects about autonomous cars in order to understand the concept. We'll first touch base on the vision and inspiration for which autonomous cars had been developed. We'll study about the miniscule forms of...

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