04334nam a22005655i 4500 978-3-031-48479-7 DE-He213 20251030111431.0 cr nn 008mamaa 240219s2024 sz | s |||| 0|eng d 9783031484797 978-3-031-48479-7 10.1007/978-3-031-48479-7 doi TA329-348 TA345-345.5 TBJ bicssc TEC009000 bisacsh TBJ thema AI in Business: Opportunities and Limitations [electronic resource] : Volume 1 / edited by Reem Khamis, Amina Buallay. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XII, 665 p. 80 illus., 64 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Studies in Systems, Decision and Control, 2198-4190 ; 515 A study on usage of selective health app in Bangalore city during post pandemic period -- Predictive Analytics of Bitcoin Cryptocurrency Price Prediction: A Recurrent Neural Network Approach -- ChatGPT and Halal Travel: an overview of current trends and future research directions -- A Study on Opportunities and challenges of Fashion Products via Social Commerce amongst young adults in Bangalore with reference to Social media influencers -- The Future of Luxury Brand Management: A Study on the Impact of New Technology and Relationship Marketing -- An Analytical Study on the Self-Help Group Through Financial Inclusion Scheme in India. This book is a comprehensive guide to understanding the potential of artificial intelligence (AI) in improving business functions, as well as the limitations and challenges that come with its implementation. In this book, readers will learn about the various opportunities that AI presents in business, including how it can automate routine tasks, reduce errors, and increase efficiency. The book covers a range of topics, including how AI can be used in financial reporting, auditing, fraud detection, and tax preparation. However, the book also explores the limitations of AI in business, such as the need for skilled professionals, data quality, and the potential for bias. It examines the challenges that companies face when implementing AI in business functions, including the need for ethical considerations, transparency, and accountability. The book is written for business professionals, business leaders, and anyone interested in the potential of AI in business functions. It offers practical advice on how to implement AI effectively and provides insights into the latest developments in AI technology. Through case studies and real-world examples, readers will gain a deeper understanding of how AI can be used to enhance business functions, as well as the potential pitfalls and limitations to be aware of. Overall, "AI in Business: Opportunities and Limitations" is an essential guide for anyone looking to harness the power of AI to improve their business functions, and to stay ahead in an increasingly competitive business environment. Engineering mathematics. 64145 Engineering Data processing. Artificial intelligence. 58441 Mathematical and Computational Engineering Applications. Artificial Intelligence. 58441 Data Engineering. 66059 Khamis, Reem. editor. edt http://id.loc.gov/vocabulary/relators/edt 71240 Buallay, Amina. editor. edt http://id.loc.gov/vocabulary/relators/edt 71241 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031484780 Printed edition: 9783031484803 Printed edition: 9783031484810 Studies in Systems, Decision and Control, 2198-4190 ; 515 https://doi.org/10.1007/978-3-031-48479-7 ZDB-2-ENG ZDB-2-SXE 57700 57700