Aeshna Kapoor, BNY Mellon, USA

The rapid evolution of data-driven technologies has led to the proliferation of big data systems capable of managing and analyzing vast amounts of data. However, many organizations continue to rely on legacy systems that are deeply entrenched in their operations. The challenge lies in integrating these legacy systems with new, AI-driven platforms to create a cohesive, hybrid infrastructure that leverages the strengths of both. This paper presents a comprehensive approach to designing and implementing a hybrid big data infrastructure that combines legacy systems with advanced AI technologies. We explore the challenges, architectural considerations, and the potential benefits of such an integration, aiming to provide a roadmap for organizations seeking to modernize their data infrastructure without completely abandoning their existing investments..

Big Data, Hybrid Infrastructure, Legacy Systems, AI Integration, Data Platforms