PART I: INTRODUCTION TO ANALYTICS AND AI 1. An Overview of Business Analytics, Decision Support Systems, Business Intelligence, Data Science, and Artificial Intelligence 2. Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications 3. Nature of Data, Statistical Modeling, and Visualization PART II: PREDICTIVE ANALYTICS AND MACHINE LEARNING 4. Data Mining Process, Methods, and Applications 5. Machine learning Techniques for Predictive Analytics 6. Deep Learning and Cognitive Computing 7. Text Mining, Sentiment Analysis, and Social Analytics PART III: PRESCRIPTIVE ANALYTICS AND BIG DATA 8. Prescriptive Analytics with Optimization and Simulation 9. Big Data, Location Analytics, and Cloud Computing PART IV: ROBOTICS, SOCIAL NETWORKS, AI, AND IoT 10. Robotics: Industrial and Consumer Applications 11. Group Decision Making, Collaborative Systems, and AI Support 12. Knowledge Systems: Expert Systems, Recommenders, Chatbots, Virtual Personal Assistants, and Robo Advisors 13. The Internet of Things As a Platform for Intelligent Applications PART V: CAVEATS OF ANALYTICS AND AI 14. Implementation Issues: From Ethics and Privacy to Organizational and Societal Impacts