Knowledge and Expert Systems and Recommenders The Teradata University Network ConnectionĬhapter 2 Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business ApplicationsĢ.1 Opening Vignette: INRIX Solves Transportation ProblemsĢ.2 Introduction to Artificial IntelligenceĪpplication Case 2.1 How Smart Can a Vacuum Cleaner BeĢ.4 Major AI Technologies and Some DerivativesĪpplication Case 2.2 How Machine Learning Is Improving Work in Business IBM and Microsoft Support for Intelligent Systems Convergenceġ.11 Resources, Links, and the Teradata University Network Connection The Convergence with Blockchain and Other TechnologiesĪpplication Case 1.10 Amazon Go Is Open for Business
Major Differences between Analytics and AI Sports Analytics-An Exciting Frontier for Learning and Understanding Applications of AnalyticsĪnalytics Applications in Healthcare-Humana ExamplesĪpplication Case 1.7 Image Analysis Helps Estimate Plant CoverĪpplication Case 1.8 AI Increases Passengers’ Comfort and Security in Airports and BordersĪpplication Case 1.9 Robots Took the Job of Camel-Racing Jockeys for Societal Benefits Transaction Processing versus Analytic ProcessingĪ Multimedia Exercise in Business IntelligenceĪpplication Case 1.3 An Post and the Use of Data Visualization in Daily Postal OperationsĪpplication Case 1.4 Siemens Reduces Cost with the Use of Data VisualizationĪpplication Case 1.5 SagaDigits and the Use of Predictive AnalyticsĪpplication Case 1.6 A Specialty Steel Bar Company Uses Analytics to Determine Available-to-Promise Datesġ.6 Analytics Examples in Selected Domains The Classical Decision Support System FrameworkĪpplication Case 1.2 SNAP DSS Helps OneNet Make Telecommunications Rate Decisionsġ.4 Evolution of Computerized Decision Support to Business Intelligence/Analytics/Data Scienceĭata Warehouse as a Foundation for Business Intelligence The Intelligence Phase: Problem (or Opportunity) IdentificationĪpplication Case 1.1 Making Elevators Go Faster Simon’s Process: Intelligence, Design, and Choice Technologies for Data Analysis and Decision Supportġ.3 Decision-Making Processes and Computerized Decision Support Framework The Influence of the External and Internal Environments on the Process Chapter 1 Overview of Business Intelligence, Analytics, Data Science, and Artificial Intelligence: Systems for Decision Supportġ.1 Opening Vignette: How Intelligent Systems Work for KONE Elevators and Escalators Companyġ.2 Changing Business Environments and Evolving Needs for Decision Support and Analytics
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