دانلود کتاب کاربردهای هوش مصنوعی در تجارت و مالی 5.0

AI has evolved as a burgeoning technology that is applicable to many industries in the current competitive and technologically driven society. The financial and banking sectors face more challenging data manage¬ment, identity theft, and fraud challenges as transactions and other company processes gradually shift online and gain popularity each year. As systems using deep learning technology are able to detect patterns and spot suspicious activity and probable fraud, AI can advance many financial and business activities.
With the main objective of designing standard, dependable product quality control methods and the search for new ways to reach and serve customers while maintaining low cost, AI has been used in the e-commerce and financial industries to accomplish better customer involvement, efficient supply chain management, improved operational efficiency, and reduced mate size. Currently, machine learning models are being created to handle the complexity and diversity of data seen in the financial markets and food business.
Applications of artificial intelligence and machine learning in business, e-commerce, corporate management, and finance are covered in this book. Some of the key uses are portfolio management, fraud detection, inventory management, sales forecasting, profit maximization, and sales growth.
The most recent results of the field’s empirical study are presented in this book along with important theoretical frameworks. It reveals novel and cutting-edge parts of AI applications, demonstrates how they may support sustainable business to increase economic efficiency at both the micro- and macrolevels, and offers a deeper comprehension of the pertinent facets of AI that have an impact on efficacy for greater output. It is an ideal resource for researchers, academicians, policymakers, business profes¬sionals, companies, and students. Numerous practical aspects of artificial intelligence that enhance industry skills as well as decision-making are gaining momentum.
This book is a significant advancement. The book’s theme is quite cross-disciplinary in nature. Despite being primarily concerned with stakeholder strategies, the book will be extremely helpful to those in corporate, business professionals, financial markets, the e-commerce industry, sociology, political science, public administration, mass media and communication, information systems, development studies, and business studies. The topic is one of the most significant expanding fields worldwide, and the models covered in the book will have a tremendous replication and practice potential. However, for practitioners engaged in the study of stakeholders and their strategies, this book will be a valuable source of reference. Second, the book is organized in a reader-friendly way with key information that has been properly analyzed and underlined, making it simple to understand the content. The reader’s access to mate¬rials in the book creates the possibility for more in-depth research. The case studies offer a tried-and-true method for resolving typical issues in the subject area.