AI, Economic Perspectives, and Firm Business Management
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Artificial intelligence (AI) has become a transformative influence in the domains of economics and business administration, fundamentally altering the operational strategies and decision-making processes of organizations. AI models can be harnessed to scrutinize market trends, consumer behavior, and macroeconomic indicators, assisting policymakers, investors, and corporations in making well-informed decisions. In business administration, AI assumes a critical function in the optimization of operations and the enhancement of productivity. AI algorithms can streamline the management of supply ch...
Artificial intelligence (AI) has become a transformative influence in the domains of economics and business administration, fundamentally altering the operational strategies and decision-making processes of organizations. AI models can be harnessed to scrutinize market trends, consumer behavior, and macroeconomic indicators, assisting policymakers, investors, and corporations in making well-informed decisions. In business administration, AI assumes a critical function in the optimization of operations and the enhancement of productivity. AI algorithms can streamline the management of supply chains, regulate inventory, and predict demand, culminating in cost reductions and heightened customer contentment. The integration of AI in economics and business management also gives rise to ethical dilemmas, privacy issues, and potential biases, necessitating further research into equitable and responsible AI applications. AI, Economic Perspectives, and Firm Business Management explores the integration of AI technology into economics and business management and operations. It examines the challenges associated with AI, including ethics, bias, and data privacy, and offers solutions for effective intelligent technology usage. This book covers topics such as artificial intelligence, cryptocurrency, and market activity, and is a useful resource for business owners, economists, computer engineers, academicians, data scientists, and researchers.
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