Published by Pearson (July 29, 2024) © 2024
Ramesh Sharda | Dursun Delen | Efraim TurbanBusiness 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