DATA GRAVITY IN MULTI-CLOUD: STRATEGIES FOR AI-POWERED DATA PLACEMENT AND RETRIEVAL
Keywords:
Artificial Intelligence, Multi Cloud, Data Gravity, Data LocationAbstract
This paper seeks to examine how artificial intelligence (AI) can help organizations avoid the pitfalls of data gravity issues for organizations using multi-cloud systems. AI, thus can help in efficient placement and retrieval of data, improving system performance as well as achieving low latency across different cloud platforms. The examine concerns AI-based approaches for optimising data management, maintaining business operations and mitigating risks and compliance in the multi-cloud environment. The results show how technology Lid organizations are able to handle differentiation data better than it used, promoting adaptability, compatibility and utilization. Lastly, AI becomes a critical game-changer in the modern multi-cloud data management for enterprises.
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