Mr. Solomon Chigurupati

AI-Driven Database Migration Frameworks for Scalable Enterprise Systems: Innovating Distributed Architecture"

Abstract:

As enterprises scale and evolve, migrating large, complex databases across heterogeneous environments—spanning on-premises systems and multiple cloud platforms—becomes a pivotal challenge. This talk presents AI-enhanced frameworks that are transforming the landscape of database migrations, offering innovative solutions to ensure seamless transitions, minimal disruption, and optimized performance. Focusing on distributed database systems, the presentation highlights how artificial intelligence can automate key aspects of migration, such as data synchronization, schema conversion, and cross-platform compatibility. These frameworks leverage machine learning algorithms to predict and mitigate potential migration risks, ensuring scalability and resilience for enterprise applications. Through real-world case studies, we will explore how AI-driven approaches are enabling more robust, adaptable, and cost-effective database architectures that support the growing demands of modern enterprises. The session will also look ahead to future trends, exploring how AI will continue to optimize database migration processes and facilitate the development of next-generation cloud-native systems.