Chapter 2 explores the essentials of Artificial Intelligence (AI), its major technologies, and its role in supporting business decision-making. It details key drivers, benefits, and foundational technologies, including machine learning, deep learning, NLP, computer vision, and robotics. The text distinguishes between human and machine intelligence and identifies three AI levels: assisted, augmented, and autonomous. Through real-world cases like Grant Thornton’s use of chatbots, the chapter illustrates AI applications in accounting, banking, and HRM to improve organizational speed and efficiency

Content from the book "Sharda, Delen, and Turban. Business Intelligence, Analytics, Data Science, and AI: A Managerial Perspective, 2024, 5th edition"

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This chapter explores computerized support for managerial decision-making in complex, rapidly changing environments. It traces the evolution from early Management Information Systems to modern Business Intelligence, Analytics, and AI. Core concepts include Simon’s four-phase decision model (intelligence, design, choice, and implementation) and the three levels of analytics: descriptive, predictive, and prescriptive. Through diverse cases in sports (Moneyball), healthcare, retail, and COVID-19 management, the chapter illustrates how data-driven insights provide competitive advantages. It establishes a foundation for leveraging technology to make faster, better strategic decisions

Content from the book "Sharda, Delen, and Turban. Business Intelligence, Analytics, Data Science, and AI: A Managerial
Perspective, 2024, 5th edition"

Audio content created with the help of NotebookLM