EPAM Thinks You Should Rethink Your Data Stack for AI [Video]

EPAM is challenging the status quo of legacy data infrastructure, highlighting how traditional warehouses and batch-driven pipelines are becoming roadblocks to realising the full potential of generative AI. 

To move from experimentation to enterprise-scale impact, organisations must rethink their data foundations for agility, real-time intelligence and AI-native design. In this shift, the company is pushing for intelligent data platforms and touchless engineering to power real-time AI agents.

At DES 2025, Srinivasa Rao Kattuboina, Senior Director and Head of the data and Analytics Practice at EPAM Systems Inc. (EPAM), delivered a compelling session arguing that the era of agentic AI demands a radical revamp of how data platforms are architected, moving from traditional batch processing toward real-time, intelligent, and open infrastructures.

“AI is no longer just an application layer,” Kattuboina said. “We must now look at data platforms themselves as intelligent systems that integrate AI at their core.”

Why Existing Platforms are Missing the Mark 

Kattuboina noted that most current enterprise data platforms, …