Artificial Intelligence

Manoj Nagpal on Incremental Modernization, Enterprise AI, and Leadership in a World of Constant Change

By Vikramsinh Ghatge

Overall Rating

Overview

In this episode of TechDogs Discover Dialogues, Manoj Nagpal, Managing Director of OpenText India and Vice President of Professional Services, joins host Vikramsinh Ghatge to discuss enterprise transformation in the age of AI. Drawing on more than three decades of experience, Manoj explains why modernization must be incremental, why AI success begins with data governance, and why leadership anchored in listening and empathy drives sustainable change.

He reflects on his evolution from hardware engineering to executive leadership and shares how enterprises can modernize legacy systems without disruption. Manoj outlines a practical AI readiness framework focused on data integration, business outcome clarity, and governance architecture.
 

Key Insights from the Conversation


• Incremental Modernization Wins
Legacy systems should evolve through phased integration rather than sudden replacement.
• AI Requires Data Discipline
Clean, integrated data is foundational for accurate AI outcomes.
• Governance Is Not Optional
Security, compliance, and human oversight are central to enterprise AI adoption.
• Integrated Services Drive Outcomes
Organizations must shift from project delivery to measurable, outcome-based value.
• Listening Is A Leadership Superpower
Empathy and active listening build trust and sustainable transformation cultures.
 

Who Should Watch


• CIOs, CTOs, and IT leaders
• Enterprise transformation leaders
• AI adoption decision-makers
• Professional services executives
 

About the Guest


Manoj Nagpal is the Managing Director of OpenText India and Vice President of Professional Services, with over 30 years in enterprise technology. He leads global transformation initiatives focused on secure information management, AI readiness, and outcome-driven modernization.

Thu, Feb 12, 2026

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