Challenges with
existing Mainframe
data architecture
in the GenAI Era

The Generative AI (GenAI) revolution demands real-time, seamless access to enterprise data, and today, most of this critical data is still managed by Mainframes. Traditional data architectures were not designed to meet the requirements of GenAI and AI agents.

This article explains the challenges of existing data architectures that enable access to mainframe data from cloud applications and describes new modern data architectures that are available today thanks to technological advancements in the GenAI space.