Books

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

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The first of it’s kind book for Internet of Things (IoT), Data Science and Decision Science enthusiasts is now available for on Amazon.

With increasing number of devices getting connected to the internet, massive amounts of data is getting generated which can be used for analysis. With IoT, the frequency of a problem and impact of the problem is huge. Addressing a problem with such a huge impact requires a very structured approach. This book helps the reader understand Internet of Things in depth, and solving business use cases in Internet with the help of Decision Science using a mature problem solving framework. The impact and value in IoT is delivered through analytics.

Solving a practical analytical IoT problem by leveraging industry standard frameworks for problem solving. The book navigates the reader through the entire journey of Inquisitive + Descriptive + Predictive + Prescriptive stack of decision science and Art of Problem Solving.

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

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 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

Table of Contents

1: IOT AND DECISION SCIENCE
  • Understanding the IoT
  • Demystifying M2M, IoT, IIoT, and IoE
  • Digging deeper into the logical stack of IoT
  • The problem life cycle
  • The problem landscape
  • The art of problem solving
  • The problem solving framework
  • Summary
2: STUDYING THE IOT PROBLEM UNIVERSE AND DESIGNING A USE CASE
  • Connected assets & connected operations
  • Defining the business use case
  • Sensing the associated latent problems
  • Designing the heuristic driven hypotheses matrix (HDH)
  • Summary
3: THE WHAT AND WHY – USING EXPLORATORY DECISION SCIENCE FOR IOT
  •  Identifying gold mines in data for decision making
  • Exploring each dimension of the IoT Ecosystem through data (Univariates)
  • Studying relationships
  • Exploratory data analysis
  • Root Cause Analysis
  • Summary
4: EXPERIMENTING PREDICTIVE ANALYTICS FOR IOT
  •  Resurfacing the problem – What’s next?
  • Linear regression – predicting a continuous outcome
  • Decision trees
  • Logistic Regression – Predicting a categorical outcome
  • Summary
5: ENHANCING PREDICTIVE ANALYTICS WITH MACHINE LEARNING FOR IOT
  •  A Brief Introduction to Machine Learning
  • Ensemble modeling – random forest
  • Ensemble modeling – XGBoost
  • Neural Networks and Deep Learning
  • Packaging our results
  • Summary
6: FAST TRACK DECISION SCIENCE WITH IOT
  • Setting context for the problem
  • Defining the problem and designing the approach
  • Exploratory Data Analysis and Feature Engineering
  • Building predictive model for the use case
  • Packaging the solution
  • Summary
7: PRESCRIPTIVE SCIENCE AND DECISION MAKING
  • Using a layered approach and test control methods to outlive business disasters
  • Connecting the dots in the problem universe
  • Story boarding – Making sense of the interconnected problems in the problem universe
  • Implementing the solution
  • Summary
8: DISRUPTIONS IN IOT
  • Edge/fog computing
  • Cognitive Computing – Disrupting intelligence from unstructured data
  • Next generation robotics and genomics
  • Autonomous cars
  • Privacy and security in IoT
  • Summary
9: A PROMISING FUTURE WITH IOT
  • The IoT Business model – Asset or Device as a Service
  • Smartwatch – A booster to Healthcare IoT
  • Smart healthcare – Connected Humans to Smart Humans
  • Evolving from connected cars to smart cars
  • Summary