Skip to main content
Have a personal or library account? Click to login
Smarter Decisions - The Intersection of Internet of Things and Decision Science Cover

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

A comprehensive guide for solving IoT business problems using decision science

Publisher:Packt Publishing Limited
By:   
Paid access
|Jan 2025
Product purchase options
Description

Enter the world of Internet of Things with the power of data science with this highly practical, engaging book

Key Features

  • Explore real-world use cases from the Internet of Things (IoT) domain using decision science with this easy-to-follow, practical book
  • Learn to make smarter decisions on top of your IoT solutions so that your IoT is smart in a real sense
  • This highly practical, example-rich guide fills the gap between your knowledge of data science and IoT

Book Description

With an increasing number of devices getting connected to the Internet, massive amounts of data are being generated that can be used for analysis. This book helps you to understand Internet of Things in depth and decision science, and solve business use cases. With IoT, the frequency and impact of the problem is huge. Addressing a problem with such a huge impact requires a very structured approach.

The entire journey of addressing the problem by defining it, designing the solution, and executing it using decision science is articulated in this book through engaging and easy-to-understand business use cases. You will get a detailed understanding of IoT, decision science, and the art of solving a business problem in IoT through decision science.
By the end of this book, you’ll have an understanding of the complex aspects of decision making in IoT and will be able to take that knowledge with you onto whatever project calls for it

What you will learn

  • Explore decision science with respect to IoT
  • Get to know the end to end analytics stack – Descriptive + Inquisitive + Predictive + Prescriptive
  • Solve problems in IoT connected assets and connected operations
  • Design and solve real-life IoT business use cases using cutting edge machine learning techniques
  • Synthesize and assimilate results to form the perfect story for a business
  • Master the art of problem solving when IoT meets decision science using a variety of statistical and machine learning techniques along with hands on tasks in R

Who this book is for

If you have a basic programming experience with R and want to solve business use cases in IoT using decision science then this book is for you. Even if your're a non-technical manager anchoring IoT projects, you can skip the code and still benefit from the book.

Table of Contents

  1. IoT and Decision Science
  2. Studying the IoT problem universe and Designing a Use case
  4. Experimenting Predictive Analytics
  5. Machine Learning for Predictive Analytics
  6. Fast track Decision Science
  7. Prescriptive Science & Decision Making
  8. Disruptions in IoT
  9. A promising future
https://github.com/packtpublishing/smarter-decisions-the-intersection-of-internet-of-things-and-decision-science
PDF ISBN: 978-1-78588-648-5
Publisher: Packt Publishing Limited
Copyright owner: © 2016 Packt Publishing Limited
Publication date: 2025
Language: English
Pages: 392
Related subjects:
Computer sciences,
Computer architecture

People also read

Book

Analytics for the Internet of Things (IoT)

Andrew Minteer
Book

Data Science for Decision Makers

Erik Herman
Book

Enterprise Internet of Things Handbook

Arvind Ravulavaru
Book

Data Analytics for IoT Applications

Anuradha Anuradha, Yogita Gigras, Vandana Khanna, Deepika Bansal, Priyanka Maan, Sandeep Kautish
Book

Hands-On Artificial Intelligence for IoT

Amita Kapoor
Book

Internet of Things Theory and Practice

Amit Kumar Tyagi
Book

Data Science for IoT Engineers

P. G. Madhavan
Book

Smart Internet of Things Projects

Agus Kurniawan
Book

Artificial Intelligence for IoT Cookbook

Michael Roshak
Book

​Hands-On Artificial Intelligence for IoT

Dr. Amita Kapoor