Year: 2025
Type: article
Abstract: Since more organizations are moving to multi-cloud and the need of the hour is to standardize and holistically bring together data from across those platforms this issue is taking an increasing precedence.In this paper, we explore in depth how the Application of Artificial Intelligence (AI) can solve data accuracy problems.We also deal with Data integration on multi-cloud underpinnings like machine view of ML (machine learning), Scalability, Natural Language Processing (NLP), Generative AI, etc.These would eventually be the ways in which AI-based cloud-data replication and generative models can be utilized to illustrate recent progress, described as an exemplary use case.Through the lens of case studies and hands-on labs, we see how AI could impact data interoperability and fidelity between multi-cloud configurations [2][3] as there are few use cases as highlighted below which will be covering the detailing in our research.
Authors: Nilesh Jain, Shalmali Patil, Satish Waybhase
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4407023405