Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing cloud storage systems, enhancing efficiency, accessibility, and cost-effectiveness in ways previously unimagined. The study authored by Shantanu Kumar explores how AI is shaping the future of cloud storage by optimizing space, speeding up data retrieval, reducing redundancy, and automating lifecycle management.
AI-Powered Data Storage Optimization As data grows, storage optimization is crucial. AI algorithms, like LSTM models, predict data usage patterns, reducing storage space by 23% and improving performance. AI-driven storage tiering boosts efficiency by automatically moving data between tiers based on access frequency, cutting costs by 35%. This approach optimizes data management while maintaining accessibility and performance.
Accelerating Data Retrieval with ML Techniques
In today’s data-driven world, fast retrieval is essential. Traditional caching struggles to keep up, but AI offers solutions. Machine learning models predict data access, cutting latency, while reinforcement learning methods like Deep Q-Network (DQN) reduce retrieval times by 37%. Intelligent indexing with classification algorithms boosts efficiency by 45%. These advancements enable businesses …