Titlebook: Applied Artificial Intelligence in Business; Concepts and Cases Leong Chan,Liliya Hogaboam,Renzhi Cao Textbook 2022 The Editor(s) (if appli

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Artificial Intelligence Technologies for Business Applicationsss expert systems, robotic process automation, fuzzy logic, interactive decision support systems, case-based reasoning, procedural content generation, voice chatbots, genetic algorithms, and hybrid AI systems. These AI technologies will also be referred to in different following chapters. Two cases

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Machine Learning for Business Applicationsrithms, including linear and multiple regression, polynomial and logistic regression, decision tree, neural networks, deep learning, recurrent neural network, genetic algorithms, support vector machine, Naive Bayes algorithm, and the Bayesian network. A case study on Microsoft is provided to illustr

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Artificial Intelligence in Finance finance and introduce how AI technology can be used in various financial services. These technologies include machine learning, artificial neural network, decision analytic network, robo-advisors, and others. Some key features of AI applications will be explained, including investment banking, pers

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Artificial Intelligence in Accounting and Auditingin accounting, including expert systems, robotic process automation, machine learning, and fuzzy neural networks. The featured application areas include general accounting, accounts payable, accounts receivable, purchasing, payment processing, billing, invoicing, debt collection, financial reporting

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Artificial Intelligence in Human Resourcesources management. The key technologies covered include big data analytics and various machine learning algorithms. Some popular applications include AI in recruitment, scheduling, training, onboarding, turnover, retention, and performance management. A case study on Paradox Olivia is provided to il

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