ADVANCING THE SYNERGY OF VIRTUALIZATION AND AI APPLICATIONS FOR REAL-TIME DATA PROCESSING IN MULTI-CLOUD ECOSYSTEMS

Abstract

The intersection of virtualization and artificial intelligence (AI) has opened new avenues for processing real-time data in multi-cloud ecosystems. This paper investigates how virtualization technologies enhance AI-driven applications by optimizing resource allocation, improving scalability, and enabling seamless multi-cloud integration. It presents a literature review of recent advancements, explores challenges in real-time data processing, and proposes best practices for multi-cloud environments. Insights are supported by data, tables, and graphical visualizations.