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

jealousy

Energy from Organic Materials (Biomass) predictive analytics applications, customer service chatbots, robo-advisor, credit scoring and others. Types of AI technologies used in credit and mortgage include machine learning (deep learning, supervised and unsupervised), natural language processing, expert systems, virtual agents, machine vis

resilience

Ulrike Seyfert,Daniela Thrän,Jasmin Kalcheral neural networks, belief networks, sentiment analysis, fuzzy logic systems and virtual reality. The major applications of AI in tourism including smart tourism, demand forecasting, and customer data analytics are explored. Case studies include Henn Na Hotel, Hilton Hotel, Airbnb, and Expedia.

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阴险

Artificial Intelligence for Businessbusiness world. The first chapter covers the following important topics: AI origin and development; Big Data supporting AI; technology landscape of AI in business; different business perspectives on AI; and a case on CB Insights.

欢笑

Big Data Powering Business Intelligenceions; business data sources and types; big data characteristics and analytics; types of business analytics; business intelligence methods; big data storage; and cloud computing technologies. Two cases are provided on Facebook and Amazon.

Paraplegia

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 illustrate AI research.

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Limited

AI in Supply Chain and Logisticsc algorithms, artificial neural network, case-based reasoning, and decision model optimization. The features of AI applications in supply chain management include logistics, inventory management, scheduling, transporting, distributing, and digital freight shipping. Three cases are provided on Walmart, UPS, and Amazon.

TEN

Artificial Intelligence in Manufacturingc web of things for the Industry 4.0 platform, computer-aided manufacturing systems, intelligent agents, fuzzy interference, decision-making systems, time-series forecasting, and others. Three case studies are provided to illustrate the AI applications in John Deere, DataProphet, and Bright Machines.