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Business Intelligence, Analytics, Data Science, and AI, Global Edition Ramesh Sharda

Business Intelligence, Analytics, Data Science, and AI, Global Edition By Ramesh Sharda

Business Intelligence, Analytics, Data Science, and AI, Global Edition by Ramesh Sharda


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Business Intelligence, Analytics, Data Science, and AI, Global Edition Summary

Business Intelligence, Analytics, Data Science, and AI, Global Edition by Ramesh Sharda

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.

About Ramesh Sharda

About our authors

Ramesh Sharda (MBA, PhD, University of WisconsinMadison) is the Vice Dean for Research and Graduate Programs, Watson/ConocoPhillips Chair, and a Regents Professor of Management Science and Information Systems in the Spears School of Business at Oklahoma State University (OSU). He cofounded and directed OSU's PhD in Business for the Executives Program. About 200 papers describing his research have been published in major journals, including Operations Research, Management Science, Information Systems Research, Decision Support Systems, and the Journal of MIS. He cofounded the AIS SIG on Decision Support Systems and Knowledge Management (SIGDSA). Dr. Sharda serves on several editorial boards, including those of Decision Support Systems and ACM Data Base. He has authored and edited several textbooks and research books and serves as the coeditor of several Springer book series (Integrated Series in Information Systems, Operations Research/Computer Science Interfaces, and Annals of Information Systems) with Springer. He served as the Executive Director of the Teradata University Network from 2013-2020. His current research interests are in decision support systems, business analytics, and technologies for managing information overload. Ramesh is a Fellow of INFORMS and AIS, and was inducted into the Oklahoma Higher Education Hall of Fame in 2015. He was awarded a Fulbright Distinguished Chair at Aalto University of Finland for spring 2023.

Dursun Delen (PhD, Oklahoma State University) is the Spears Endowed Chair in Business Administration, Patterson Foundation Endowed Chair in Business Analytics, Director of Research for the Center for Health Systems Innovation, and Regents Professor of Management Science and Information Systems in the Spears School of Business at Oklahoma State University (OSU). Prior to his academic career, he worked for a privately owned research and consultancy company, Knowledge Based Systems Inc., in College Station, Texas, as a research scientist for 5 years, during which he led a number of decision support and other information systemsrelated research projects funded by several federal agencies including the Department of Defense (DoD), National Aeronautics and Space Administration (NASA), National Institute for Standards and Technology (NIST), Ballistic Missile Defense Organization (BMDO), and Department of Energy (DOE). Dr. Delen has published more than 200 peer-reviewed articles, some of which have appeared in major journals like Decision Sciences, Decision Support Systems, Communications of the ACM, Computers and Operations Research, Computers in Industry, Journal of Production Operations Management, Artificial Intelligence in Medicine, International Journal of Medical Informatics, Expert Systems with Applications, and IEEE Wireless Communications. He recently authored/coauthored twelve textbooks in the broad areas of business analytics, data mining, text mining, business intelligence, and decision support systems. He is often invited to national and international conferences for keynote addresses on topics related to data/text mining, business analytics, decision support systems, business intelligence, and knowledge management. He regularly chairs, tracks, and minitracks at various information systems and analytics conferences. He is currently serving as the Editor-in-Chief for the Journal of Business Analytics, Journal of AI in Business (part of Frontiers in AI family of journals), and as Senior Editor, Associate Editor, or Editorial Board Member for more than another dozen of academic journals. His research and teaching interests are in data and text mining, business analytics, decision support systems, data science, knowledge management, business intelligence, and enterprise modeling.

Efraim Turban (MBA, PhD., University of California, Berkeley) is a Visiting Scholar at the Pacific Institute for Information System Management, University of Hawaii. Prior to this, he was on the staff of several universities, including City University of Hong Kong; Lehigh University; Florida International University; California State University, Long Beach; Eastern Illinois University; and the University of Southern California. Dr. Turban is the author of more than 100 refereed papers published in leading journals, such as Management Science, MIS Quarterly, and Decision Support Systems. He is also the author of 20 books, including Electronic Commerce: A Managerial Perspective and Information Technology for Management. He is also a consultant to major corporations worldwide. Dr. Turban's current areas of interest are Web-based decision support systems, social commerce, and collaborative decision making.

Table of Contents

  1. An Overview of Business Intelligence, Analytics, Data Science, and AI
  2. Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications
  3. Descriptive Analytics I: Nature of Data, Big Data, and Statistical Modeling
  4. Descriptive Analytics II: Business Intelligence Data Warehousing, and Visualization
  5. Predictive Analytics I: Data Mining Process, Methods, and Algorithms
  6. Predictive Analytics II: Text, Web, and Social Media Analytics
  7. Deep Learning and Cognitive Computing
  8. Prescriptive Analytics: Optimization and Simulation
  9. Landscape of Business Analytics Tools
  10. AI-Based Trends in Analytics and Data Science
  11. Ethical, Privacy, and Managerial Considerations in Analytics

Additional information

NGR9781292459295
9781292459295
1292459298
Business Intelligence, Analytics, Data Science, and AI, Global Edition by Ramesh Sharda
New
Paperback
Pearson Education Limited
2024-06-17
736
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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