Wayne Madhlangobe, Santee Cooper
Robert Saul, Tacoma Public Utilities
Vivek Kirpalaney, Ontario Power Generation
As artificial intelligence rapidly moves from experimentation to enterprise-wide deployment, organizations are facing a critical challenge: how to manage AI responsibly, strategically, and at scale.
This featured panel discussion will explore how leading enterprises are approaching AI architecture and governance from an enterprise analytics standpoint. Panelists will share real-world perspectives on building the right foundations for sustainable AI success—including governance frameworks, data readiness, regulatory compliance, architecture strategy, workforce enablement, practical use case deployment, and value realization.
Attendees will gain insights into how organizations are balancing innovation with accountability while integrating AI into core business operations. The conversation will also examine how enterprise analytics leaders are helping guide decisions around risk, trust, adoption, and measurable impact.
Join this timely discussion to hear how peers across the industry are navigating the evolving AI landscape and creating scalable approaches to enterprise AI management.
As AI scales across the enterprise, organizations must balance innovation with governance, trust, and measurable business value. In this panel discussion, enterprise analytics leaders will share practical strategies for AI architecture, governance, data readiness, compliance, workforce enablement, and scalable deployment. Hear how peers are building responsible, sustainable approaches to enterprise AI while driving real operational impact.