Federated Learning for Privacy-Preserving: A Review of PII Data Analysis in Fintech

Dash, Bibhu; Sharma, Pawankumar; Ali, Azad

doi:10.5121/ijsea.2022.13401

Cited by 70 publications

(18 citation statements)

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“…The TAM model examines exterior elements, including utility, content, pricing, and design, to examine their links with perceived usefulness and perceived usability [16]. Before we continue to investigate the idea of reasoned action, these external elements that impact organizational culture or commercial acceptance must be addressed (TRA) [25].…”

Section: Key Takeaways From Tam Ttf and Utautmentioning

confidence: 99%

Organizational Digital Transformations and the Importance of Assessing Theoretical Frameworks such as TAM, TTF, and UTAUT: A Review

Dash¹,

Sharma²,

Swayamsiddha³

2023

IJACSA

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In this era of Industry 5.0, businesses worldwide are attempting to gain competitive advantages, increase profits, and improve consumer engagement. To achieve their goals, all businesses undergo extensive digital transformations (DT) by implementing cutting-edge technologies such as cloud computing, artificial intelligence (AI), the Internet of Things, and blockchain, among others. DT is a costly journey, including strategy, people, and technology. At the same time, many digitization efforts are failing miserably, resulting in project abandonment, loss of critical stakeholder trust, and the dismissal of important staff. Poor strategy, which may have pre-evaluated organizational flexibility and cultural misfits, is often criticized. As a result, it is critical to extensively investigate theoretical frameworks such as the Technology Acceptance Model (TAM), Task Technology Fit (TTF), and Unified Theory of Acceptance and Use of Technology (UTAUT), which were developed via significant research into various organizational kinds. All of these aspects are covered in this work by evaluating academic papers from the IEEE, Scopus, and Web of Science databases and reaching conclusions in future sections.

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Section: Key Takeaways From Tam Ttf and Utautmentioning

confidence: 99%

Organizational Digital Transformations and the Importance of Assessing Theoretical Frameworks such as TAM, TTF, and UTAUT: A Review

Dash¹,

Sharma²,

Swayamsiddha³

2023

IJACSA

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“…The key application can be seen in our daily products, such as Siri and Cortana. With deep learning, computers are trained to understand large amounts of data patterns, ensuring we learn from these patterns (Dash et al, 2022).…”

Section: Deep Learningmentioning

confidence: 99%

The Role of Artificial Intelligence in Tackling Covid-19 (A Review)

Panda¹

2023

AJRSP

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This paper investigates how Artificial Intelligence (AI) can be used to combat the Covid 19 epidemic. The article first introduces the benefits of AI and how it has been used to aid people during the pandemic. The history of the Covid-19 pandemic is laid out, and AI technology is introduced. It then examines the responses to the pandemic and its effects on the economy and society. The research uses a qualitative methodology, which entailed looking at original documents and supplementary materials like scholarly articles and books about the subject. The paper used this method to determine how various forms of artificial intelligence could combat Covid 19. Among these were improvements to vaccines and medications and the ability to detect and identify infections, manage their remediation, keep track of individuals' contacts, predict mortality rates, and calculate them. Additionally, the paper explored how AI technology has affected disease prevention efforts and how further study of AI could benefit healthcare. After observing the effectiveness of AI technologies in halting the spread of the Covid 19 pandemic, the authors concluded that more study was required to fully grasp the long-term effects of AI technology in healthcare and its ethical implications.

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“…Companies worldwide, retailers, and internet powerhouses all realized they needed to revamp the financial services value chain to succeed. The financial industry's businesses have progressed significantly from the days of "old school" banking to the present day, where they now employ FinTech [19]. People could not have asked for a more promising outlook for the future of finance.…”

Section: Implications Of the Studymentioning

confidence: 99%

Untitled

2023

IJCSIT

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The Fintech industry is no stranger to transformation and disruption. With the emergence of new technologies such as Big Data and the Metaverse, finance companies are quickly leveraging these technologies to revolutionize the virtual fintech sector. Big data transforms how financial institutions gather, analyze, and utilize data. The sheer amount of data available has opened up countless opportunities for better customer understanding and insight into business operations. Companies can use this data to create predictive models that identify emerging trends in customer behavior, market activity, and other aspects of their business. By utilizing these insights, companies can make smarter decisions about products, services, marketing strategies, and more. The Metaverse is another technology with massive potential for disrupting the Fintech sector. The Metaverse enables businesses to offer virtual goods and services without physical stores or retail outlets. This makes it easier for companies to scale their operations across multiple regions and gives customers more options when choosing a financial service provider. Additionally, using digital currencies like Bitcoin helps reduce transaction costs significantly while increasing security compared to traditional payment methods like credit cards or PayPal.

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Federated Learning for Privacy-Preserving: A Review of PII Data Analysis in Fintech

Cited by 70 publications

References 0 publications

Organizational Digital Transformations and the Importance of Assessing Theoretical Frameworks such as TAM, TTF, and UTAUT: A Review

Organizational Digital Transformations and the Importance of Assessing Theoretical Frameworks such as TAM, TTF, and UTAUT: A Review

The Role of Artificial Intelligence in Tackling Covid-19 (A Review)

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