Name: Decision-Making in Business Management Through Artificial Intelligence and Machine Learning (en Inglés)
SKU: 63815229
Price: 32360.00 CLP
Availability: InStock
Author: Joeleen Kimbell
ISBN: 9783389106716

portada Decision-Making in Business Management Through Artificial Intelligence and Machine Learning (en Inglés)

Decision-Making in Business Management Through Artificial Intelligence and Machine Learning (en Inglés)

Formato

Libro Físico

Editorial

Grin Verlag

Autor

Joeleen Kimbell

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

ISBN13

9783389106716

Decision-Making in Business Management Through Artificial Intelligence and Machine Learning (en Inglés)

Joeleen Kimbell (Autor) · Grin Verlag · Tapa Blanda

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Reseña del libro "Decision-Making in Business Management Through Artificial Intelligence and Machine Learning (en Inglés)"

Case Study from the year 2024 in the subject Business economics - E-Commerce, grade: A, language: English, abstract: This paper focuses on how Artificial Intelligence and Machine Learning have changed decisions in retailing, healthcare, financing, and manufacturing careers. They demonstrate how AI is used in supply chain management to support the decision-making process by making forecasts, processing data, and optimizing operations, leading to higher efficiency, decreased costs, and increased customer satisfaction. Thus, the research incorporates quantitative and qualitative approaches, such as surveys and interviews with key stakeholders, and employs statistical and content analysis methods While adopting the decision theory and systems thinking perspectives, this research paper highlights the necessity of effectively and adequately implementing AI into an organization permanently to achieve more benefits. The following are realizable out-of-the-box solutions that the study suggests, including audiences for employees, data protection for compliance, and conscientization of fairness in AI algorithms. Future directions include situations where these applications are to be broadened to weigh on ethical issues and to encourage optimal technological fairness that will, in turn, ensure sustainable business improvement and innovation.