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IBM Watson Projects

You're reading from   IBM Watson Projects Eight exciting projects that put artificial intelligence into practice for optimal business performance

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789343717
Length 340 pages
Edition 1st Edition
Languages
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Authors (2):
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Armen Pischdotchian Armen Pischdotchian
Author Profile Icon Armen Pischdotchian
Armen Pischdotchian
James D. Miller James D. Miller
Author Profile Icon James D. Miller
James D. Miller
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Toc

Table of Contents (12) Chapters Close

Preface 1. The Essentials of IBM Watson FREE CHAPTER 2. A Basic Watson Project 3. An Automated Supply Chain Scenario 4. Healthcare Dialoguing 5. Social Media Sentiment Analysis 6. Pattern Recognition and Classification 7. Retail and Personalized Recommendations 8. Integration for Sales Forecasting 9. Anomaly Detection in Banking Using AI 10. What's Next 11. Other Books You May Enjoy

Summary

In this chapter, we used a simple use case to cover the fundamental steps that are part of almost any Watson Analytics project. We started by stating an objective for the project by defining a realistic use case problem to solve, then gathered the data, loaded it into Watson Analytics (as an Excel Worksheet), and used Watson to refine the data before finally creating a prediction and reviewing the results.

At this point, the reader should have a clear understanding of how to create a Watson Analytics project.

In the next chapter, we will focus on analyzing how effective a supply chain is for a retail department store, using Watson Analytics in an attempt to isolate the causes of delivery performance.

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