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IoT Empowered AI/ML Banking: Safeguarding Data Integrity through Message Passing and Wireless Connectivity

Authors: Emily Sonnett;

IoT Empowered AI/ML Banking: Safeguarding Data Integrity through Message Passing and Wireless Connectivity

Abstract

The rapid evolution of technology is reshaping the banking industry, with Internet of Things (IoT) devices and Artificial Intelligence/Machine Learning (AI/ML) algorithms playing pivotal roles. This paper explores the synergy of IoT, AI/ML, message passing, and wireless connectivity in the context of banking applications. We delve into the significance of safeguarding data integrity through secure message passing and seamless wireless networks. The paper examines real-world applications, including fraud detection, personalized customer experiences, and operational efficiency enhancements. By analyzing case studies and implementation strategies, we highlight how these technologies converge to create a robust AI/ML-powered banking ecosystem. The synthesis of IoT and AI/ML, coupled with secure message passing and wireless connectivity, lays the foundation for a transformative banking landscape.

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Keywords

Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), banking applications, data integrity, message passing, wireless networks, secure communication, customer experiences.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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