This new book explores emerging new technologies for the development of business and finance sectors, to strengthen economic growth, and to facilitate the efficiency and creation of new and innovative business and finance management applications. The book covers state-of-the-art technologies such as artificial intelligence and big data analytics in fintech and finance, blockchain technology in the insurance industry, the use of AI and data science in tax administration, the growing use of 6G in industrial automation, quantum machine learning in finance, the merging of AI and blockchain in auditing, and more. Chapters explore the collaboration between humans and machines, the application of data science and artificial intelligence in the retail sector, and AI and data science in business services with a focus on enhancing efficiency and driving innovation.
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Academic and Postgraduate
Illustrationen
15 farbige Zeichnungen, 9 s/w Photographien bzw. Rasterbilder, 79 s/w Zeichnungen, 88 s/w Abbildungen, 15 farbige Abbildungen
15 Line drawings, color; 79 Line drawings, black and white; 9 Halftones, black and white; 15 Illustrations, color; 88 Illustrations, black and white
Maße
Höhe: 240 mm
Breite: 161 mm
Dicke: 25 mm
Gewicht
ISBN-13
978-1-77491-768-8 (9781774917688)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Jyoti Batra Arora, PhD, is an academician and philanthropist. Affiliated with the Institute of Chartered Accountants of India, she has 14 years of experience in teaching. She has a patent published to her credit and has authored books with many renowned publishers and is also an editorial board member for many international journals. Her areas of interest are mobile communication, cyber security, networking, Internet of Things, software engineering, computer technology trends, etc. She has acted as session chair and advisory committee member of several international and national conferences and as a resource person for faculty development programs, management development programs, and training programs.
Nitish Pathak, PhD, is an Associate Professor of Computer Science and Engineering at the Bhagwan Parshuram Institute of Technology, Guru Gobind Singh Indraprastha University, Delhi, India. He has more than 19 years of experience in the field of engineering education, corporate, research, and administration. He has also worked for HCL Technologies, Noida. He has more than 140 publications, including books, book chapters, patents, and papers in international journals and conference proceedings, and is a guest editor, lead guest editor, and associate editor for various journals. He has received awards and certificates of appreciation for his academic, research, and administration activities.
Neelam Sharma, PhD, is an Assistant Professor at the Maharaja Agrasen Institute of Technology, New Delhi, affiliated to Guru Gobind Singh Indraprastha University, Delhi, India. She has attended and conducted seminars, conferences, workshops, faculty development programs, etc. Her original research results have been published in more than 95 papers in international journals, proceedings of international conferences, patents, book chapters, etc. She is a reviewer for international journals and is the recipient of several best paper awards.
1. Amalgamation of Artificial Intelligence (AI) and Data Science in Taxation 2. A Retrospection of Business Intelligence in the Era of Big Data Analytics and Artificial Intelligence for Fintech 3. From Data to Insights: How AI and IoT Are Reshaping Financial Services? 4. Blockchain for Insurance Claims Management 5. Industrial Automation: 6G with Artificial Intelligence 6. A New Deep Learning Approach for Stock Price Prediction Using CNN-BILSTN and ARIMA-LSTM 7. Unleashing the Power of AI in Business, Finance, Industry 4.0, and Banking 4.0 8. Applications of Quantum Machine Learning in Financial Services 9. Human-Machine Collaboration in Business Processes 10. Amalgamation of AI and Blockchain in Auditing 11. Prominent Portrayal of AI Accompanying Transpiring Technologies in Business and Finance 12. The Collaboration Between Humans and Machines 13. Application of Data Science and Artificial Intelligence in the Retail Sector 14. AI and Data Science in Business Services: Enhancing Efficiency and Driving Innovation
