Using Fintech innovations for predictive financial modeling in multi-cloud environments

This paper explores integrating fintech innovations and multi-cloud environments in predictive financial modeling. Fintech advancements, such as artificial intelligence, machine learning, and blockchain, drive significant improvements in financial forecasting, risk assessment, and decision-making. Meanwhile, multi-cloud architectures provide the flexibility, scalability, and resilience necessary to support these advanced fintech solutions. The paper discusses key technologies, challenges, and opportunities associated with integrating fintech in multi-cloud environments and examines future trends that could shape the financial services industry. Strategic implications for financial institutions are considered, highlighting the evolving role of fintech and multi-cloud in enhancing operational efficiency and competitiveness. By combining fintech with multi-cloud, financial institutions are better positioned to capitalize on real-time predictive analytics, ultimately transforming the future of financial services. Keywords: Fintech Innovations, Predictive Financial Modelling, Multi-Cloud Environments, Artificial Intelligence, Financial Forecasting.

Authors

Publication Details

Journal
Computer Science & IT Research Journal
Published
2024-10-23
DOI
https://doi.org/10.51594/csitrj.v5i10.1651
Citations
3
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
1.59
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article

Using Fintech innovations for predictive financial modeling in multi-cloud environments

Adams Gbolahan Adeleke, Onyinye Gift Ejike, Ifeanyi Chukwunonso Okeke, Titilayo Deborah Olorunyomi
3 citations
Computer Science & IT Research Journal
FinTech, Crowdfunding, Digital Finance
1.59
article

Using Fintech innovations for predictive financial modeling in multi-cloud environments

Adams Gbolahan Adeleke, Onyinye Gift Ejike, Ifeanyi Chukwunonso Okeke, Titilayo Deborah Olorunyomi
article en
3 citations

Abstract

This paper explores integrating fintech innovations and multi-cloud environments in predictive financial modeling. Fintech advancements, such as artificial intelligence, machine learning, and blockchain, drive significant improvements in financial forecasting, risk assessment, and decision-making. Meanwhile, multi-cloud architectures provide the flexibility, scalability, and resilience necessary to support these advanced fintech solutions. The paper discusses key technologies, challenges, and opportunities associated with integrating fintech in multi-cloud environments and examines future trends that could shape the financial services industry. Strategic implications for financial institutions are considered, highlighting the evolving role of fintech and multi-cloud in enhancing operational efficiency and competitiveness. By combining fintech with multi-cloud, financial institutions are better positioned to capitalize on real-time predictive analytics, ultimately transforming the future of financial services. Keywords: Fintech Innovations, Predictive Financial Modelling, Multi-Cloud Environments, Artificial Intelligence, Financial Forecasting.

Computer Science & IT Research JournalVol. 5(10)
Openalex Percentile: Top 13%
FinTech, Crowdfunding, Digital Finance
1.59
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Using Fintech innovations for predictive financial modeling in multi-cloud environments — Adams Gbolahan Adeleke, Onyinye Gift Ejike, et al. · Computer Science & IT Research Journal (2024) | TGRS Research Map | TGRS