Business Intelligence, Analytics, Data Science, and AI is your guide to the business-related impact of artificial intelligence, data science and analytics, designed to prepare you for a managerial role. The text's vignettes and cases feature modern companies and non-profit organizations and illustrate capabilities, costs and justifications of BI across various business units. With coverage of many data science/AI applications, you'll explore tools, then learn from various organizations' experiences employing such applications. Ample hands-on practice is provided, can be completed with a range of software, and will help you use analytics as a future manager.
The 5th Edition integrates the fully updated content of Analytics, Data Science, and Artificial Intelligence, 11/e and Business Intelligence, Analytics, and Data Science, 4/e into one textbook, strengthened by 4 new chapters that will equip you for today's analytics and AI tech, such as ChatGPT. Examples explore analytics in sports, gaming, agriculture and "data for good."
An Overview of Business Intelligence, Analytics, Data Science, and AI
Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications
Descriptive Analytics I: Nature of Data, Big Data, and Statistical Modeling
Descriptive Analytics II: Business Intelligence Data Warehousing, and Visualization
Predictive Analytics I: Data Mining Process, Methods, and Algorithms
Predictive Analytics II: Text, Web, and Social Media Analytics
Deep Learning and Cognitive Computing
Prescriptive Analytics: Optimization and Simulation
Landscape of Business Analytics Tools
AI-Based Trends in Analytics and Data Science
Ethical, Privacy, and Managerial Considerations in Analytics
