Hybrid Cloud Architectures for Scalable and Cost-Effective AI in Banking

The banking sector's digital transformation through hybrid cloud architectures represents a strategic response to the growing demands for scalable, secure, and cost-effective AI implementations. This article examines the comprehensive integration of hybrid cloud solutions in banking, exploring key components, implementation strategies, and security considerations. The article covers infrastructure requirements, data management frameworks, deployment methodologies, and financial implications of hybrid cloud adoption. Special attention is given to regulatory compliance, data protection measures, and emerging technologies such as edge computing and advanced AI capabilities. The article demonstrates how hybrid cloud architectures enable banks to maintain security and compliance while leveraging the benefits of cloud-based AI/ML capabilities, ultimately driving innovation and operational efficiency in the financial services sector.

Authors

Publication Details

Journal
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Published
2024-12-18
DOI
https://doi.org/10.32628/cseit241061226
Citations
1
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.78
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hybrid Cloud Architectures for Scalable and Cost-Effective AI in Banking

Vedaswaroop Meduri
1 citations
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Blockchain Technology Applications and Security
0.78
article

Hybrid Cloud Architectures for Scalable and Cost-Effective AI in Banking

Vedaswaroop Meduri
article en
1 citations

Abstract

The banking sector's digital transformation through hybrid cloud architectures represents a strategic response to the growing demands for scalable, secure, and cost-effective AI implementations. This article examines the comprehensive integration of hybrid cloud solutions in banking, exploring key components, implementation strategies, and security considerations. The article covers infrastructure requirements, data management frameworks, deployment methodologies, and financial implications of hybrid cloud adoption. Special attention is given to regulatory compliance, data protection measures, and emerging technologies such as edge computing and advanced AI capabilities. The article demonstrates how hybrid cloud architectures enable banks to maintain security and compliance while leveraging the benefits of cloud-based AI/ML capabilities, ultimately driving innovation and operational efficiency in the financial services sector.

International Journal of Scientific Research in Computer Science Engineering and Information TechnologyVol. 10(6)
Industry, innovation and infrastructure
Openalex Percentile: Top 18%
Blockchain Technology Applications and Security
0.78
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Hybrid Cloud Architectures for Scalable and Cost-Effective AI in Banking — Vedaswaroop Meduri · International Journal of Scientific Research in Computer Science Engineering and Information Technology (2024) | TGRS Research Map | TGRS