06309nam a22005895i 4500 978-3-031-47324-1 DE-He213 20251030112059.0 cr nn 008mamaa 240527s2024 sz | s |||| 0|eng d 9783031473241 978-3-031-47324-1 10.1007/978-3-031-47324-1 doi HG176.7 KFF bicssc BUS017000 bisacsh KFF thema Applications of Block Chain technology and Artificial Intelligence [electronic resource] : Lead-ins in Banking, Finance, and Capital Market / edited by Mohammad Irfan, Khan Muhammad, Nader Naifar, Muhammad Attique Khan. 1st ed. 2024. Cham : Springer International Publishing : Imprint: Springer, 2024. VI, 303 p. 44 illus., 34 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Financial Mathematics and Fintech, 2662-7175 1. Tarun Kumar Vashishth, Bhupendra Kumar, Md Shabbir Alam, Vikas, Sachin Chaudhary: The Impact of Artificial Intelligence on the Future of Computing: A Comparative Study -- 2. Diksha Verma, Pooja Kansra, Shad Ahmad Khan: Apparent Advantages and Negative Facet of Block chain in Banking Sector: An Innovative Theoretical Perspective -- 3. Swati Gupta, Rajeev Srivastava, Zakir Hossen Shaikh, Mohammad Irfan: Revolutionizing Rural Finance: Exploring the Impact of FinTech on Financial Inclusion in India -- 4. Early Ridho Kismawadi, James Aditchere, Libeesh P C: Integration of Artificial Intelligence Technology in Islamic Financial Risk Management for Sustainable Development -- 5. Bindiya Jain, Indrajit Ghosal, Akshita Chotia, P G S Amila Jayarathne: Blockchain and IOT Devices: A Futuristic Approach for Digital and Smart Supply Chain -- 6. Monika Sirothiya, Nitendra Tiwari, Parvez A. Khan, Raditya Sukmana: Artificial intelligence and Blockchain Technology in Banking: Bibliometric analysis -- 7. Mini Jain, Hari Prapan Sharma, and Iqwal Thonse Hawaldar: Transforming Finance: Exploring the Potential of Decentralized Business Models Enabled by Blockchain Technology -- 8. Sylva Alif Rusmita, Puji Sucia Sukmaningrum, Fadillah Mansor, Mohammad Irfan: Return Provisions Stipulated Investor Holding Period in Islamic Banking’s Share (Artificial Intelligent VS Panel Approach) -- 9. Baranidharan Subburayan, Amirdha Vasani Sankarkumar, Rohit Singh, Hellena Mohamedy Mushi: Transforming of the Financial Landscape from 4.0 to 5.0: Exploring the Integration of Blockchain, and Artificial Intelligence -- 10. Kavita Singh, Komal, Yaditi Singh, Seyedeh Shabnam Jazaeri: The Potential Application of Blockchain in Green Finance -- 11. Mahammad Habeeb, T V Sriram, Syed Muhammad Abdul Rehman Shah: Bibliometric Analysis of Publications on Artificial Intelligence and Finance in the Databases of Scopus -- 12. Manoj Kumar, Sumit Kumar, Rubina I Ahmed: Understanding the Need of Block Chain Technologyand Artificial Intelligence, and Transformation of Financial Services: A Conceptual Framework -- 13. Anand Kumar Mishra, Amit Kumar Tyagi, Micheal Olaolu Arowolo: Future Trends and Opportunities in Machine Learning and Artificial Intelligence for Banking and Finance -- 14. Anand Kumar Mishra, Amit Kumar Tyagi, Richa, Subhra Rani Patra: Introduction to Machine Learning and Artificial Intelligence in Banking and Finance -- 15. Mohan N., Mohammad Irfan, Khaliquzzaman Khan, Sarfraz Fayaz Khan: Using AI and the TOPSIS-MCDM tool to assess Indian banks' Performance. Today, emerging technologies offer a new pathway for advancing the economy in the fields of banking, finance, and capital markets. Blockchain applications play a crucial role in ensuring trust and security within these industries by relying on transparency and visibility through peer-to-peer networks. The banking industry has also witnessed increased operations speed, better transparency, efficiency enhancement, fraud extenuation at less cost while sharing real-time data between various parties. Thus, the adoption of blockchain in the Banking and Insurance industry is developing very fast. It has emerged as the commonly accepted default platform for the banking and insurance industry. This book explores how blockchain technology optimizes and integrates transactions and operations, facilitating easier access to information. This, in turn, has the potential to reduce communication costs and minimize minor data transfer errors. Additionally, the book delves into the current applications of blockchain technology in the financial industry, discusses its limitations, and outlines its future prospects for broader accessibility. This book is aimed at students and researchers in financial engineering and fintech and it can serve as a reference for identifying problem areas and their possible solutions. Financial engineering. 58071 Artificial intelligence. 58441 Machine learning. 55059 Financial Technology and Innovation. 69289 Artificial Intelligence. 58441 Machine Learning. 55059 Irfan, Mohammad. editor. edt http://id.loc.gov/vocabulary/relators/edt 77475 Muhammad, Khan. editor. edt http://id.loc.gov/vocabulary/relators/edt 77476 Naifar, Nader. editor. edt http://id.loc.gov/vocabulary/relators/edt 77443 Khan, Muhammad Attique. editor. edt http://id.loc.gov/vocabulary/relators/edt 77477 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031473234 Printed edition: 9783031473258 Printed edition: 9783031473265 Financial Mathematics and Fintech, 2662-7175 77478 https://doi.org/10.1007/978-3-031-47324-1 ZDB-2-BUM ZDB-2-SXBM 60144 60144