Mr. Vamsi Rao

Resilient and Scalable Cloud Infrastructure: The Role of AI and Automation in Future Storage Architectures

Abstract : 

As cloud computing adoption accelerates with advancements in AI, IoT, Big Data, and 5G, ensuring resilient and scalable storage infrastructure has become critical. Traditional storage systems face scalability limitations, operational complexity, downtime risks, and security concerns, leading to significant financial and performance setbacks.

This talk explores how AI-driven predictive analytics and automation transform cloud storage architectures to self-healing, scalable, and highly efficient. By leveraging machine learning for anomaly detection, automated incident response, and real-time resource optimization, organizations can reduce downtime, improve reliability, and enhance performance.

Additionally, emerging technologies such as edge computing, decentralized storage, zero-trust security models, and quantum computing are shaping the next generation of cloud storage solutions. This session will provide insights into how researchers and engineers can implement these innovations to build future-proof cloud infrastructures that meet the growing demands of modern digital ecosystems.