AI meets BI : artificial intelligence and business intelligence

Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Preface -- Acknowledgments -- About the Author -- Chapter 1 Introduction -- In This Chapter -- 1.1 Introduction -- 1.2 Traditional Ways of Enabling BI -- 1.3 Three Generations of BI -- 1.4 How Business Fits into BI-From Business Data to Business Decision Making -- 1.5 Summary -- Chapter 2 AI and AI-Powered Analytics -- In This Chapter -- 2.1 Introduction -- 2.2 AI and Its Rise in the Modern Enterprise -- 2.3 How AI Changes the Enterprise BI Landscape -- 2.4 The Analytics Sphere -- 2.5 BI-Enabled vs. AI-Powered Analytics -- 2.6 From Data to Intelligent Decision Making to Insightful Decisions -- 2.7 AI-Powered Techniques for BI -- 2.8 Summary -- Chapter 3 Industry Uses Cases of Enterprise BI-A Business Perspective -- In This Chapter -- 3.1 Introduction -- 3.2 Classifying Commodity Saleable Grade Based on Its Attributes -- 3.2.1 Descriptive Analytics -- 3.3 Predicting Commodity Prices in Advance -- 3.3.1 Predictive Analytics -- 3.4 Recommender Systems to Suggest Optimal Choices Based on Score -- 3.5 Automatic Image Recognition -- 3.6 Summary -- Chapter 4 Industry Use Cases of Enterprise BI-The AI-Way of Implementation -- In This Chapter -- 4.1 Introduction -- 4.2 Classifying Commodity Saleable Grade Based on Their Attributes -- 4.2.1 The AI-Methodology-Descriptive Analytics-Using the Random Forest Machine Learning Algorithm and Comparing It with Decision Trees -- 4.2.2 The BI-Enablement and Its Impact on the Enterprise -- 4.3 Predicting Commodity Prices in Advance -- 4.3.1 The AI-Methodology-Predictive Analytics-Using Neural Networks -- 4.3.2 The BI-Enablement and Its Impact on the Enterprise -- 4.4 Recommender Systems to Suggest Optimal Choices Based on Score.