Preface
About the Authors
Part I. Introduction to Analytics and AI
Chapter 1. Overview of Business Intelligence, Analytics, Data Science, and Artificial Intelligence: Systems for Decision Support
Chapter 2. Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications
Chapter 3. Nature of Data, Statistical Modeling, and Visualization
Part II. Predictive Analytics/Machine Learning
Chapter 4. Data Mining Process, Methods, and Algorithms
Chapter 5. Machine-Learning Techniques for Predictive Analytics
Chapter 6. Deep Learning and Cognitive Computing
Chapter 7. Text Mining, Sentiment Analysis, and Social Analytics
Part III. Prescriptive Analytics and Big Data
Chapter 8. Prescriptive Analytics: Optimization and Simulation
Chapter 9. Big Data, Cloud Computing, and Location Analytics: Concepts and Tools
Part IV. Robotics, Social Networks, AI and IoT
Chapter 10. Robotics: Industrial and Consumer Applications
Chapter 11. Group Decision Making, Collaborative Systems, and AI Support
Chapter 12. Knowledge Systems: Expert Systems, Recommenders, Chatbots, Virtual Personal Assistants, and Robo Advisors
Chapter 13. The Internet of Things as a Platform for Intelligent Applications
Part V. Caveats of Analytics and AI
Chapter 14. Implementation Issues: From Ethics and Privacy to Organizational and Societal Impacts
Glossary

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