AI-Enabled Agile Internet of Things for Sustainable FinTech Ecosystems

AI-Enabled Agile Internet of Things for Sustainable FinTech Ecosystems

Indexed In: SCOPUS
Release Date: June, 2022|Copyright: © 2022 |Pages: 271
DOI: 10.4018/978-1-6684-4176-3
ISBN13: 9781668441763|ISBN10: 1668441764|EISBN13: 9781668441787
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Aerospace Industry
  • Blockchain Platforms
  • Consensus Algorithms
  • Gender Diversity
  • Green FinTech
  • IoT-Based Banking
  • Market Analysis
  • Payment Wallet Services
  • Secure Authentication
  • Security Issues in IoT
  • Service Quality
  • Smart Networks
  • Technological Readiness
  • Wireless Sensor Networks
Reviews & Statements

“Artificial Intelligence (AI) has come a long way from being a segment of science fiction to reality. And because AI has turned into a mainstream technology in the present industry and is now a part of the common man’s everyday life, there is a new debate that has sparked. Our biggest fear, perhaps is that AI will “replace” humans at all levels and also outsmart them in a soon.”

– Prof. Prasad G (Chandigarh University, India)
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Editor/Author Biographies

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 is a certified commercial banking and credit analyst (CBCA), Capital markets and securities analyst (CMSA), and Certified AML FinTech Compliance Associate (CAFCA). She is an MSc Fintech graduate (with distinction) from the University of Stirling, Scotland, United Kingdom. Prior to MSC, she has also done MBA from GNDU (gold medal) and has worked as a global client and partner business manager with Singapore-based MNC. Currently, she is working as an Editor (Cryptopedia) at Cointelegraph. She has written various conference papers and has authored a book titled 'The Magic Of Compounding'. She was the Finalist of the Women in STEM-Lovelace Colloquium that was held in 2019 at the University of Salford, UK, and Royal Bank of Scotland's Hackathon in 2019. Her expertise includes blockchain & fintech research, quantitative analysis, financial modeling, business valuation, business analysis, data visualization, and financial fraud, and anti-money laundering analysis.

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