AI and Automation in Business: Transforming Management with Intelligent Systems

Artificial Intelligence (AI) has evolved from a theoretical concept into a transformative force reshaping business management. Its roots lie in early computing research during the 1940s and 1950s. Alan Turing, often regarded as the father of modern computing, proposed the concept of machines capable of intelligent behavior, leading to the formalization of AI as a scientific discipline at the Dartmouth Conference in 1956. Early AI in business focused on symbolic reasoning and rule-based systems, where explicit rules guided decision-making. The 1960s and 1970s witnessed the emergence of expert systems such as DENDRAL (for chemical analysis) and MYCIN (for medical diagnosis), demonstrating AI's potential in knowledge-intensive tasks. These early applications were limited by computational power, data availability, and lack of integration with business processes.The 1980s introduced decision support systems (DSS) in business, where AI was used to enhance managerial decisions in finance, logistics, and operations. The 1990s saw the rise of enterprise software integrating AI into workflow automation, customer relationship management (CRM), and supply chain planning.

Pagina's: 192, Paperback, Scholars' Press