Name
Exploring the Potential of AI in EAM
Description

This session explores real-world insights, early lessons, and practical steps for preparing EAM ecosystems for a future shaped by autonomous, audit-ready AI agents. Bill Lucas will examine what it takes to move beyond traditional automation toward intelligent agents capable of interacting with asset data, supporting decisions, initiating workflows, and operating within the controls required by regulated environments.

Attendees will learn where organizations should focus today—from data quality and system connectivity to governance, security, validation, and traceability—and which foundational gaps could limit AI adoption tomorrow. The session will also address the realities of introducing greater autonomy into GxP environments, including maintaining human oversight, explainability, and defensible audit trails.

The goal is not to predict a distant AI future, but to help organizations understand the practical groundwork they can begin laying now to make their EAM ecosystem ready for what comes next.

Trail Markers
Digital Transformation, Asset Data Quality, Asset Performance & Reliability