Mr. Yaman Tandon

How GenAI Agents are Transforming Legacy Application Modernization

Abstract:

Legacy systems pose a significant bottleneck to digital transformation, consuming a majority of IT budgets and hindering business agility. Built on obsolete technology and outdated languages, these systems create technical debt, knowledge gaps, and security risks. This presentation will explore how Generative AI (GenAI) agents are revolutionizing legacy application modernization by offering unprecedented automation, analysis, and transformation capabilities. The talk will delve into the core capabilities of GenAI agents, including automated code analysis, intelligent strategy formulation, and autonomous code transformation. By interpreting code intent and generating new code in modern languages like Java or Python, GenAI dramatically shortens transformation timelines and reduces costs. Case studies will showcase how these agents can modernize complex systems while preserving critical functionality and ensuring business continuity. Ultimately, GenAI represents a paradigm shift, transforming modernization from a costly necessity into a strategic enabler for innovation and growth.

Profile:

Yaman Tandon is an AI Product Manager at a major consulting firm, where he helps organizations harness the power of data, cloud, and AI to drive innovation and growth. Formerly a management consultant, he has led global technology strategy and digital transformation initiatives for Fortune 500 companies across industries. Yaman is passionate about making advanced technology accessible and inspiring both technical and non-technical audiences to unlock their creative potential.