Название: New Perspectives on Enterprise Decision-Making Applying Artificial Intelligence TechniquesАвтор: Julian Andres Zapata-Cortes, Giner Alor-Hernandez
Издательство: Springer
Год: 2021
Страниц: 529
Язык: английский
Формат: pdf (true)
Размер: 20.5 MB
Artificial Intelligence (AI) techniques cover the automation of cognitive and physical tasks. These techniques help people to perform tasks faster and make better decisions. It enables the automation of decision-making process without human intervention. AI techniques can enhance automation by reducing intensive human labor and tedious tasks. There are more forms in which Artificial Intelligence is making a difference for enterprises in decision-making marketing, customer relationship management, recommender systems, problem-solving, opinion mining, augmented analytics, to mention but a few.
In marketing, it is necessary to understand customer needs and desires and aligning products to those needs and desires. A handle on changing customer behavior is vital to make the best marketing decisions. AI simulation and modeling techniques provide reliable insight into the consumers’ persona. This will help predicting consumers’ behavior. Through real-time data gathering, trend analysis, and forecasting, an AI system can help businesses make insightful marketing decisions. Furthermore, organizations can identify a consumer’s lifetime value with the help of AI’s buyer persona modeling. It can help organizations manage multiple inputs. During a complex decision-making process, AI can efficiently manage and control different factors at the same point in time. It can source and process large amounts of data within minutes while providing valuable business-based insights. While we humans face decision fatigue, algorithms do not have such limitations, which make AI-based decisions faster and better. Also, AI techniques have provided businesses invaluable insight about consumers, which helps them enhance their communication with the consumers.
In e-commerce, an AI system learns a consumer’s preference based on “explicit” or “implicit” feedbacks. This kind of systems are called recommender systems. A recommender system can provide information helping the organization to reduce bounce rate and craft better customer-specific targeted content. Wise business decisions are made when business executives and decision-makers have reliable data and recommendations. AI not only improves the performance of both the individual members of the team but also the competitive edge of the business.
This book presents different techniques and methodologies that used to help improve the decision-making process and increase the likelihood of success in sector as follows: agriculture, financial services, logistics, energy services, health and others.
This book collects and consolidates innovative and high-quality research contributions regarding the implementation techniques and methodologies applied in different industrial sectors. The scope is to disseminate current trends knowledge in the implementation of artificial intelligence techniques and methodologies in different fields as follows: supply chain, business intelligence, e-commerce, social media and others. The book contents are useful for Ph.D., Ph.D. students, master and undergraduate students, and professional and students in industrial engineering, computer science, information systems, data analytics and others.
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