Analytics, Data Science, and Artificial Intelligence (AI) have become the technology drivers of today. All major companies and organizations are creating new organizational units focused on analytics to help them become more effective and efficient in their operations. Decision makers are using more computerized tools to support their work, and even consumers are using analytics tools, either directly or indirectly, to make decisions on routine activities such as shopping, health/healthcare, travel, and entertainment. The field of decision support systems, business intelligence, and business analytics (BI & BA) has evolved rapidly to become more focused on innovative applications for extracting knowledge and insight from data streams that were not even captured until recently, much less analyzed in significant ways. New applications turn up daily in all types of industries-healthcare, sports, travel, entertainment, supply-chain management, utilities, etc. The term analytics has evolved into other terms such as data science and newer incarnations: artificial intelligence, deep learning, and the Internet of Things. With ChatGPT account registrations jumping to more than 100 million in just two months after its public launch, it is clear that AI technologies are becoming more mainstream. Recently, AI has become a popular buzzword again with much promise for impacting business and personal lives. Our other book, Analytics, Data Science, and Artificial Intelligence, 11th ed, 2017 by Sharda, Delen, and Turban (referred hereafter as DSS11), introduced many of these current topics. Previous edition of this book, Business Intelligence, Analytics, and Data Science: A Managerial Approach, 4th ed, by Sharda, Dursun, and Turban, covered the core areas from a managerial perspective. Based on the convergence of all of these topical areas and the need for a managerial understanding, we have combined the two books into this new 5th edition, now called Business Intelligence, Analytics, Data Science, and AI, 5th ed. This new edition integrates and updates the content of both books by streamlining the coverage and creating a more focused book that covers most of the important topics in AI, data science, and analytics. Thus, the theme of this revised edition is analytics, data science, and AI for enterprise decision support. This edition of the text provides a managerial perspective to a business analytics continuum beginning with descriptive analytics (e.g., the nature of data, statistical modeling, data visualization, and business intelligence), moving on to predictive analytics (e.g., data mining, text/web mining, social media mining), and then to prescriptive analytics (e.g., optimization and simulation).
Citación recomendada (normas APA)
Ramesh Sharda, "Business intelligence, analytics, data science, and AI: a managerial perspective /", -:Pearson Education, 2024. Consultado en línea en la Biblioteca Digital de Bogotá (https://www.bibliotecadigitaldebogota.gov.co/resources/4172618/), el día 2026-05-13.
