IBM Watson Projects: Eight exciting projects that put artificial intelligence into practice for optimal business performance - Softcover

Miller, James

Softcover

ISBN 10: 1789343712 ISBN 13: 9781789343717

Publisher: Packt Publishing, 2018

Synopsis

Incorporate intelligence to your data-driven business insights and high accuracy business solutions

Key Features

• Explore IBM Watson capabilities such as Natural Language Processing (NLP) and machine learning
• Build projects to adopt IBM Watson across retail, banking, and healthcare
• Learn forecasting, anomaly detection, and pattern recognition with ML techniques

Book Description

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.

What you will learn

• Build a smart dialog system with cognitive assistance solutions
• Design a text categorization model and perform sentiment analysis on social media datasets
• Develop a pattern recognition application and identify data irregularities smartly
• Analyze trip logs from a driving services company to determine profit
• Provide insights into an organization's supply chain data and processes
• Create personalized recommendations for retail chains and outlets
• Test forecasting effectiveness for better sales prediction strategies

Who this book is for

This book is for data scientists, AI engineers, NLP engineers, machine learning engineers, and data analysts who wish to build next-generation analytics applications. Basic familiarity with cognitive computing and sound knowledge of any programming language is all you need to understand the projects covered in this book.

Table of Contents

1. The Essentials of IBM Watson
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

About this title

About the Author

James D. Miller is an IBM certified expert, Master Consultant, Application/System Architect with +35 years of applications & system design/development experience across multiple platforms, technologies and data formats, including Big Data. His experience includes IBM Planning Analytics, BI, Web architecture & design, systems analysis, GUI design & testing, Data modeling, design, and development of OLAP, Client/Server, Web & Mainframe applications and systems utilizing: Planning Analytics Workspace (PAW), IBM Watson Analytics, Cognos BI & TM1, Framework Manager, dynaSight/ArcPlan, ASP, DHTML, XML, MS Visual Basic, VBA, PERL, R, SPLUNK, MS SQL Server, ORACLE, etc. He has authored numerous books, including Implementing Splunk - Second Edition; Mastering Splunk; Hands-On Machine Learning with IBM Watson; IBM Watson Projects; Statistics for Data Science; Mastering Predictive Analytics with R - Second Edition and others. Project areas include those with Data Analytics, Planning Analytics, and FOPM projects, holding various roles from architect, developer, technical and project leader.

Edition details

• Publisher: Packt Publishing
• Publication date: 2018
• Language: English
• ISBN 10: 1789343712
• ISBN 13: 9781789343717
• Binding: Paperback
• Number of pages: 340