Book Image

IBM Watson Projects

By : James D. Miller
Book Image

IBM Watson Projects

By: James D. Miller

Overview of this book

IBM Watson provides fast, intelligent insight in ways that the human brain simply can't match. Through eight varied projects, this book will help you explore the computing and analytical capabilities of IBM Watson. The book begins by refreshing your knowledge of IBM Watson's basic data preparation capabilities, such as adding and exploring data to prepare it for being applied to models. The projects covered in this book can be developed for different industries, including banking, healthcare, media, and security. These projects will enable you to develop an AI mindset and guide you in developing smart data-driven projects, including automating supply chains, analyzing sentiment in social media datasets, and developing personalized recommendations. By the end of this book, you'll have learned how to develop solutions for process automation, and you'll be able to make better data-driven decisions to deliver an excellent customer experience.

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Table of Contents (12 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
Free Chapter
1
The Essentials of IBM Watson
The Essentials of IBM Watson
Definition and objectives
IBM Cloud prerequisites
Exploring the Watson interface
Basic tasks refresher
Summary
2
A Basic Watson Project
A Basic Watson Project
The problem defined
Getting started
Building your Watson project
Refine or Explore
Creating a prediction
Summary
3
An Automated Supply Chain Scenario
An Automated Supply Chain Scenario
The problem defined
Getting started
Building the Watson project
Reviewing the results
Sharing with a dashboard
Summary
4
Healthcare Dialoguing
Healthcare Dialoguing
The problem defined
What is dialoguing?
Getting started
Building the project
Reviewing the results
Recap
Results
Testing your story
Summary
5
Social Media Sentiment Analysis
Social Media Sentiment Analysis
The problem defined
Social media and IBM Watson Analytics
Adding dates
Deeper dive – conversation clusters
Another look
Sentiment
Author interests
Behavior
The data
Summary
6
Pattern Recognition and Classification
Pattern Recognition and Classification
The problem defined
Data peeking
Starting a pattern recognition and classification project
More with Watson Analytics
Developing the pattern recognition and classification project
Creating the prediction
Reviewing the results
Displaying top predictors and predictive strength
Summary
7
Retail and Personalized Recommendations
Retail and Personalized Recommendations
The problem defined
Starting the project
Developing the project
Reviewing the results
Summary ribbon
The top predictors
Sharing the insights
Summary
8
Integration for Sales Forecasting
Integration for Sales Forecasting
The problem defined
IBM Planning Analytics
Time Series
Other visualization options
Reviewing the results
Summary
9
Anomaly Detection in Banking Using AI
Anomaly Detection in Banking Using AI
Defining the problem
Banking use cases
Starting the project
Developing the project
Reviewing the results
Summary
10
What's Next
What's Next
Chapter-by-chapter summary
Suggested next steps
Summary
11
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IBM Cloud prerequisites

IBM Watson lives in the cloud (the IBM Cloud). The cloud environment makes it relatively easy to get started as there are actually very few prerequisites that you need to access IBM Watson Analytics (and the IBM Cloud platform overall). In fact, all you really need to get yourself up and running is an up-to-date web browser (most will work quite adequately) and your willingness to discover and learn.

The following are the official browser minimum requirements (as of the time of writing):

  • Chrome: Latest version for your operating system
  • Firefox: Latest regular and ESR versions for your operating system
  • Internet Explorer: Version 11
  • Edge: Latest version for Windows
  • Safari: Latest version for Mac

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