Analysis of Issues Affecting IoT, AI, and Blockchain Convergence
Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Science and Business Media Deutschland GmbH
Abstract
The purpose of this project was to appraise the integration or convergence issues influencing the mutual functioning of blockchain, AI, and IoT. The study argued that the recent developments in the field of IoT and blockchain prediction have involved the integration of innumerable classification schemes to establish a hybrid model. The introduction of the hybrid technique relies on the prediction performance that strives to override the limitations of any available architectural scheme. This study offers a comprehensive exploratory appraisal of the issues influencing the successful integration of IoT and blockchain in regards to functionality and effectiveness of security, trust, and flawless communication issues. The exploratory research methodology was used in analyzing the issues affecting the integration of blockchain, artificial intelligence (AI), and the internet of things (IoT). The findings indicated that the integration challenges influencing the effective operations of blockchain, AI, and IoT as a single system involve security, scalability, accountability, and trust of communications. The study recommends that successful and effective integration will enhance the development of new business models as well as the digital transformation of market corporations. Accordingly, new approaches to convergence should ensure that executives address the new technology demands to obtain significant gains in efficiency. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Description
item.page.type
Book chapter
item.page.format
Keywords
Artificial intelligence, Blockchain convergence, Internet of things
Citation
Taleb, N., Al-Dmour, N. A., Issa, G. F., Abdellatif, T. M., Alzoubi, H. M., Alshurideh, M., & Salahat, M. (2023). Analysis of Issues Affecting IoT, AI, and Blockchain Convergence. In M. Alshurideh, B.H. Al Kurdi, R. Masa’deh, H.M. Alzoubi & S. Salloum (Eds.) The Effect of Information Technology on Business and Marketing Intelligence Systems (pp. 2055-2066). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-12382-5_112