Synopsis
As the spectrum of the internet of things (IoT) expands, artificial intelligence (AI)-assisted agile IoT is the way forward for sustainable finance. The depth of agile IoT has changed the financial market, and it may quickly evolve as a powerful tool in the future. The convergence of AI and IoT techniques will significantly extract valuable financial information and offer better services to customers. Some of the potential benefits of AI-assisted agile IoT for FinTech include prompt customer support, in-door client navigation, on-site queue management, improved customer experience, security and authenticity, wireless payments, increased business efficiency, self-checkout services, and business automation. There is no doubt that leveraging the complete potential of AI-assisted agile IoT will result in the creation of a new and innovative financial system.
AI-Enabled Agile Internet of Things for Sustainable FinTech Ecosystems presents the advances in AI-assisted agile IoT for financial technologies (FinTech). It further explains the new applications, current issues, challenges, and future directions of the field of AI-assisted agile IoT for FinTech applications and ecosystems. Covering topics such as consensus algorithms, IoT-based banking, and secure authentication, this premier reference source is an excellent resource for business executives and managers, IT managers, librarians, students and faculty of higher education, researchers, and academicians.
About the Authors
Sandeep Kautish is working as Professor & Dean-Academics with LBEF Campus, Kathmandu Nepal running in academic collaboration with Asia Pacific University of Technology & Innovation Malaysia. He is an academician by choice and backed with 17+ Years of work experience in academics including over 06 years in academic administration in various institutions of India and abroad. He has meritorious academic records throughout his academic career. He earned his bachelors, masters and doctorate degree in Computer Science on Intelligent Systems in Social Networks. He holds PG Diploma in Management also. His areas of research interest are Business Analytics, Machine Learning, Data Mining, and Information Systems. He has 40+ publications in his account and his research works has been published in reputed journals with high impact factor and SCI/SCIE/Scopus/WoS indexing. His research papers can be found at Computer Standards & Interfaces (SCI, Elsevier), Journal of Ambient Intelligence and Humanized Computing (SCIE, Springer). Also, he has authored/edited more than 07 books with reputed publishers i.e. Springer, Elsevier, Scrivener Wiley, De Gruyter, and IGI Global. He has been invited as Keynote Speaker at VIT Vellore (QS ranking with 801-1000) in 2019 for an International Virtual Conference. He filed one patent in the field of Solar Energy equipment using Artificial Intelligence in 2019. He is an editorial member/reviewer of various reputed SCI/SCIE journals i.e. Computer Communications (Elsevier), ACM Transactions on Internet Technology, Cluster Computing (Springer), Neural Computing and Applications (Springer), Journal of Intelligent Manufacturing (Springer), Multimedia Tools & Applications (Springer), Computational Intelligence (Wiley), Australasian Journal of Information Systems (AJIS, International Journal of Decision Support System Technology (IGI Global USA), International Journal of Image Mining (Inderscience). He has supervised one PhD in Computer Science as a co-supervisor at Bharathiar University Coimbatore. Presently two doctoral scholars are pursuing their PhD under his supervision in different application areas of Machine Learning. He is a recognized academician as Session Chair/PhD thesis examiner at various international universities of reputes i.e. University of Kufa, University of Babylon, Polytechnic University of the Philippines (PUP), University of Madras, Anna University Chennai, Savitribai Phule Pune University, M.S. University, Tirunelveli, and various other Technical Universities. (Google Scholar - www.sandeepkautish.com.)
Guneet Kaur, a distinguished professional, brings a wealth of expertise from academia and industry. As the FinTech editor for Cointelegraph's Cryptopedia Section, she thrives in the blockchain, crypto, and fintech landscape, with over 5 years of experience. Presently pursuing a professional doctorate in data science at the prestigious University of Stirling, Guneet's research delves into the pressing topic of privacy concerns associated with CBDCs. Guneet's notable accomplishments include securing distinction in her MSc in Financial Technology (Fintech) from the University of Stirling, Scotland along with holding a gold medalist MBA in Finance & Marketing from Guru Nanak Dev University, India. During her tenure at an IT company, which she joined after completing MBA, Guneet not only honed her skills but also excelled as a Global Client Partner and Business Manager for the APAC region, all while securing a funded scholarship for a Singapore training trip in 2016. Additionally, Guneet has co-edited books, authored book chapters published by IGI Global. Moreover, she has also served as an assessor for blockchain courses by The Economist, and as head coach for blockchain and crypto-related courses by the Institute for Management Development, Switzerland. She is a sought-after speaker and has presented at conferences and events worldwide. Her research interests encompass digital finance, blockchain, Central Bank Digital Currencies (CBDCs), cryptocurrencies, monetary policy, and financial technologies. My ORCiD iD is- https://orcid.org/0000-0002-3359-9924
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