Session: That Awkward Moment When Your ERP Thinks It's Still 1998
In modern enterprises, a significant and costly disconnect exists between high-level strategic planning conducted in Enterprise Resource Planning (ERP) systems and the real-time operational realities of the factory floor. While ERPs excel at resource management and financial forecasting, they often operate on a time scale of hours or days, creating an "execution blind spot" in environments that function in seconds. This gap leads to operational inefficiencies, costly unplanned downtime, and a failure to leverage the institutional knowledge of an experienced workforce. As a result, many organizations find themselves in a constant state of reactive firefighting, unable to translate strategic goals into predictable, data-driven execution.
This presentation will explore a new paradigm for achieving operational excellence by bridging this gap with intelligent automation. Drawing on over 20 years of experience in digital transformation and insights from cutting-edge research at UC Berkeley's AI Lab, this session will introduce the "Plan-and-Act" framework. This model separates high-level strategic planning from low-level, adaptive execution, creating a robust and agile operational structure. We will discuss how this AI-driven approach transforms the ERP from a passive system of record into an active, intelligent engine for growth.
This session is designed for technology leaders, operations managers, and strategists who are tasked with driving real-world results and are seeking a proven, research-backed methodology for leveraging AI to build the intelligent, autonomous, and human-centric enterprises of the future.
Bio
Elizabeth Moyle is a Strategic Advisor for Intelligent Automation and Operational Excellence at Narada AI, where she helps enterprises bridge the critical gap between strategic planning and real-time execution on the factory floor. With over 20 years of experience leading digital transformation initiatives across construction, manufacturing, and industrial operations, Elizabeth has a proven track record of turning complex, manual processes into scalable, data-driven platforms that deliver measurable results.
As Director of AI Program Management, Elizabeth architects AI-powered smart maintenance platforms that integrate equipment lifecycle management, automated scheduling, and proactive alerting systems. Her work connects cross-functional processes across construction, facilities, and service operations to drive warranty compliance and operational efficiency. Previously, as a Senior Product and Platform Manager, she delivered significant enterprise savings by building intelligent automation programs and developing teams of citizen developers to expand digital capabilities across organizations.
Elizabeth's expertise spans the full spectrum of operational technology, from ERP and MES integration to AI/ML and IoT implementation. She has led multi-year IT transformations, managed global SAP S/4 HANA implementations, and executed Lean Six Sigma initiatives that have generated millions in cost savings. Her hands-on experience includes roles as Fabrication & Operations Manager and Logistics Manager & Inventory Controller, giving her a unique perspective that bridges executive leadership and plant floor realities.
Elizabeth holds an Executive MBA in Organizational Leadership from CSU Monterey Bay and is a certified Lean Six Sigma Black Belt. She is recognized for her resilient, people-first leadership style and her ability to align stakeholders, build roadmaps, and drive adoption across field teams and enterprise systems. Based in Oakdale, California, Elizabeth is passionate about empowering organizations to build intelligent, autonomous, and human-centric operations for the future.