LEVERAGING ENTERPRISE AGILE AND PLATFORM MODERNIZATION IN THE FINTECH AI REVOLUTION: A PATH TO HARMONIZED DATA AND INFRASTRUCTURE

As the Fintech sector undergoes rapid evolution, driven by the relentless pace of Artificial Intelligence (AI) advancements, organizations find themselves at a pivotal juncture.The journey through the Fintech AI landscape is fraught with challenges and opportunities alike, necessitating a robust framework that not only ensures infrastructure resilience but also harmonizes data operations for developing value-driven capabilities.This exploration delves into the transformative role of AI within Fintech, underscoring its potential to revolutionize traditional practices and catalyze innovation.Central to this discussion are two intertwined facets: the strategic orchestration of data operations and the criticality of infrastructural resilience tailored for AI's demands.The paper examines effective data management strategies, encompassing collection, preprocessing, and feature engineering, alongside ensuring regulatory compliance and robust data governance.Concurrently, it assesses the infrastructural prerequisites for AI deployment in Fintech, highlighting the nuanced advantages and challenges presented by cloud computing solutions, alongside considerations for security and privacy.Integral to achieving these objectives is the adoption of enterprise agile methodologies and platform modernization efforts.This paper posits that aligning data operations with agile practices and modernizing technological platforms are essential steps toward fostering an environment conducive to AI's potential.Through this lens, we navigate the complexities of managing data quality, availability, and the intricacies of sustaining an adaptable infrastructure.The synthesis presented emphasizes the paramount importance of a symbiotic relationship between data operations and infrastructure, championed by agile and modernization principles.By addressing practical challenges and delineating best practices, this narrative offers a roadmap for Fintech entities aiming to leverage AI effectively.Ultimately, this paper articulates the indispensability of a harmonized approach to data operations and infrastructural resilience, enabled by enterprise agility and platform modernization, as the cornerstone of thriving in the AI-driven Fintech revolution.

Publication Details

Journal
International Research Journal of Modernization in Engineering Technology and Science
Published
2024-08-12
DOI
https://doi.org/10.56726/irjmets51740
Citations
2
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
1.06
Controls
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article

LEVERAGING ENTERPRISE AGILE AND PLATFORM MODERNIZATION IN THE FINTECH AI REVOLUTION: A PATH TO HARMONIZED DATA AND INFRASTRUCTURE

2 citations
International Research Journal of Modernization in Engineering Technology and Science
Big Data and Business Intelligence
1.06
article

LEVERAGING ENTERPRISE AGILE AND PLATFORM MODERNIZATION IN THE FINTECH AI REVOLUTION: A PATH TO HARMONIZED DATA AND INFRASTRUCTURE

article en
2 citations

Abstract

As the Fintech sector undergoes rapid evolution, driven by the relentless pace of Artificial Intelligence (AI) advancements, organizations find themselves at a pivotal juncture.The journey through the Fintech AI landscape is fraught with challenges and opportunities alike, necessitating a robust framework that not only ensures infrastructure resilience but also harmonizes data operations for developing value-driven capabilities.This exploration delves into the transformative role of AI within Fintech, underscoring its potential to revolutionize traditional practices and catalyze innovation.Central to this discussion are two intertwined facets: the strategic orchestration of data operations and the criticality of infrastructural resilience tailored for AI's demands.The paper examines effective data management strategies, encompassing collection, preprocessing, and feature engineering, alongside ensuring regulatory compliance and robust data governance.Concurrently, it assesses the infrastructural prerequisites for AI deployment in Fintech, highlighting the nuanced advantages and challenges presented by cloud computing solutions, alongside considerations for security and privacy.Integral to achieving these objectives is the adoption of enterprise agile methodologies and platform modernization efforts.This paper posits that aligning data operations with agile practices and modernizing technological platforms are essential steps toward fostering an environment conducive to AI's potential.Through this lens, we navigate the complexities of managing data quality, availability, and the intricacies of sustaining an adaptable infrastructure.The synthesis presented emphasizes the paramount importance of a symbiotic relationship between data operations and infrastructure, championed by agile and modernization principles.By addressing practical challenges and delineating best practices, this narrative offers a roadmap for Fintech entities aiming to leverage AI effectively.Ultimately, this paper articulates the indispensability of a harmonized approach to data operations and infrastructural resilience, enabled by enterprise agility and platform modernization, as the cornerstone of thriving in the AI-driven Fintech revolution.

International Research Journal of Modernization in Engineering Technology and Science
Industry, innovation and infrastructure
Openalex Percentile: Top 18%
Big Data and Business Intelligence
1.06
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