The Impact of Fintech and Artificial Intelligence on COVID 19 and Sustainable Development Goals

Farahani, Milad Shahvaroughi; Esfahani, Amirhossein; Moghaddam, Mohammadreza Nejad Falatouri; Ramezani, Ali

doi:10.52547/ijimes.2.3.14

Cited by 7 publications

(5 citation statements)

References 12 publications

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“…The complexity of embedding AI into service exchanges encourages cooperation between traditional banking organizations and tech-savvy FinTech companies, highlighting the need for a collaborative ecosystem (Payne et al, 2021). The transformative impact of FinTech and AI on sustainable development goals and the financial industry is also a subject of scholarly inquiry, emphasizing the interconnectedness of these domains (Farahani et al, 2022).…”

Section: Synergy Of Fintech Ai and Cybersecuritymentioning

confidence: 99%

Accelerating SME growth in the African context: Harnessing FinTech, AI, and cybersecurity for economic prosperity

Chinwe Chinazo Okoye,

Ekene Ezinwa Nwankwo,

Favour Oluwadamilare Usman

et al. 2024

Int. J. Sci. Res. Arch.

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The economic landscape of Africa is evolving rapidly, and the role of Small and Medium Enterprises (SMEs) is increasingly recognized as a key driver of sustainable development. This review explores the potential of leveraging Financial Technology (FinTech), Artificial Intelligence (AI), and Cybersecurity to accelerate SME growth in the African context, ultimately contributing to economic prosperity. In recent years, FinTech has gained prominence for its ability to revolutionize financial services. By facilitating seamless transactions, enhancing access to capital, and streamlining financial processes, FinTech presents a significant opportunity for SMEs in Africa to overcome traditional barriers to growth. The integration of AI technologies further amplifies this potential, enabling SMEs to harness data-driven insights for informed decision-making, operational efficiency, and personalized customer experiences. However, the adoption of FinTech and AI in the African SME sector necessitates robust cybersecurity measures. As digital transformation accelerates, the risk of cyber threats becomes more pronounced. Addressing these challenges requires a strategic approach to cybersecurity, encompassing robust data protection, threat intelligence, and resilient infrastructure. This review underscores the importance of a holistic approach, wherein the synergy between FinTech, AI, and Cybersecurity becomes a catalyst for economic prosperity. Policymakers, financial institutions, and technology providers must collaborate to create an enabling environment that fosters innovation, supports digital literacy, and ensures the security of digital ecosystems. By embracing this technological trifecta, African SMEs can navigate the complexities of the modern business landscape, foster innovation, and contribute significantly to job creation and economic growth. As Africa positions itself on the global stage, the strategic utilization of FinTech, AI, and Cybersecurity emerges as a pivotal driver for unlocking the full potential of SMEs and propelling the continent toward sustained economic prosperity.

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Section: Synergy Of Fintech Ai and Cybersecuritymentioning

confidence: 99%

Accelerating SME growth in the African context: Harnessing FinTech, AI, and cybersecurity for economic prosperity

Chinwe Chinazo Okoye,

Ekene Ezinwa Nwankwo,

Favour Oluwadamilare Usman

et al. 2024

Int. J. Sci. Res. Arch.

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“…Such evaluations are essential for ensuring that AI applications contribute positively to the environment and do not exacerbate existing ecological challenges. Moreover, the potential of AI to advance sustainable development goals in sectors like healthcare and education is increasingly recognized as a vital component of broader sustainability efforts (Farahani et al, 2022).…”

Section: Abstract: Artificial Intelligence Sustainability Environment...mentioning

confidence: 99%

Sustainability and AI: Prioritizing Environmental Considerations in Tech Advancements

Khajeh Naeeni

2023

aitechbesosci

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New advancements in artificial intelligence (AI) have positioned this transformative technology at the forefront of innovation, offering unprecedented opportunities to address some of the most pressing challenges of our time. Among these challenges, sustainability stands out as a critical area where AI can make a significant and meaningful impact. The literature emphasizes the imperative for a holistic approach to sustainable AI that encompasses environmental, social, and economic dimensions. This comprehensive perspective is crucial for maximizing the potential benefits of AI while minimizing any adverse impacts on the planet and society. Building public trust in AI through transparent, responsible practices is paramount for ensuring the long-term sustainability and ethical deployment of AI technologies. As we stand at the confluence of technological innovation and environmental stewardship, it is incumbent upon researchers, policymakers, and industry leaders to embrace the principles of sustainable AI. By doing so, we can harness the power of AI to not only drive economic growth and technological advancement but also to safeguard our planet for future generations. The time to act is now, and the path forward requires a concerted effort to integrate sustainability at the core of AI development and application. Through such endeavors, we can achieve a future where technology and nature coexist in harmony, paving the way for a sustainable, inclusive, and prosperous world for all.

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“…Research by [18] aims to evaluate and compare the performance of two sentiment analysis management methods, namely the Support Vector Machine (SVM) and Particle Swarm Optimization (PSO) algorithms. This study collected sentiment data from Fintech users through social media and analyzed the data using SVM and PSO methods.…”

Section: Sentiment Analysismentioning

confidence: 99%

Sentiment Analysis of User Preference for Old Vs New Fintech Technology Using SVM and NB Algorithms

Nurdin,

Alexandri,

Sumadinata

et al. 2023

Management Systems in Production Engineering

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The aim of this study is to use sentiment analysis to compare the efficiency of old and new fintech technologies by collecting data from various sources and analyzing it using the SVM and NB algorithms. The study seeks to identify opinions or feelings from text in order to provide a clear picture of public opinion and the direction of the debate regarding old and new fintech technologies. The results of the study show that the SVM algorithm has an average accuracy of 87.32% and the NB algorithm has an average accuracy of 81.56% in testing the sample data in a comparison of old and new fintech technology on the internet. The study tested data in a comparison of two specific arguments, namely the debate about which technology is more efficient in old and new fintech on the internet. Despite many unresolved arguments, the study successfully proved that new fintech is more preferred than old fintech, with 71% positive sentiment directed towards new fintech. However, the dataset also found that 62% negative sentiment is directed towards new fintech, indicating that although new fintech is more preferred, there are still some issues that need to be addressed. One reason for negative sentiment towards new fintech may be the continued concerns about security and privacy of user data. Furthermore, other factors that may cause negative sentiment towards new fintech include a lack of understanding about how the technology works.

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The Impact of Fintech and Artificial Intelligence on COVID 19 and Sustainable Development Goals

Cited by 7 publications

References 12 publications

Accelerating SME growth in the African context: Harnessing FinTech, AI, and cybersecurity for economic prosperity

Accelerating SME growth in the African context: Harnessing FinTech, AI, and cybersecurity for economic prosperity

Sustainability and AI: Prioritizing Environmental Considerations in Tech Advancements

Sentiment Analysis of User Preference for Old Vs New Fintech Technology Using SVM and NB Algorithms

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