Cross-Platform Cloud Database Interoperability: Using AI To Enable Seamless Data Migration And Integration Across Multi-Cloud Environments

Abstract

Organisations are increasingly adopting multiple cloud platforms to optimize costs, reduce vendor
lock-in, and leverage platform-specific capabilities. Nonetheless, cross-platform cloud database
interoperability remains a challenge as a result of differences in data formats, security policies, and
performance optimization needs. This study examines the role of Artificial Intelligence (AI) in
enabling seamless data migration and integration across multi-cloud environments. The adoption
of AI-driven solutions boosts interoperability by automating data migration, optimizing data flow
performance, and mitigating potential risks through predictive analytics. While AI-driven
interoperability solutions offer significant advantages, they face some challenges such as the need
for high-quality training data that are difficult to obtain, the performance trade-offs between speed
and accuracy, and ensuring regulatory compliance. Overcoming these challenges requires
continuous development of the AI model and investing in scalable computing infrastructure while
also not overlooking security measures to avoid data losses. This study highlights the
transformative potential of AI in multi-cloud database interoperability