AI and JD Edwards: Safely Connecting a Probabilistic Future to a Deterministic ERP
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Posted by Quest Customer Learning Team
- Last updated 10/20/26
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P-053103: AI and JD Edwards: Safely Connecting a Probabilistic Future to a Deterministic ERP
This session was presented at INFOCUS 2026.
Artificial Intelligence is rapidly becoming a strategic priority for organizations running JD Edwards, but many teams are struggling to understand how AI fits within a system designed for accuracy, control, and compliance. This session provides a practical, vendor-neutral introduction to the concepts, architectures, and governance considerations required to safely adopt AI in an ERP environment. Attendees will learn the critical difference between deterministic ERP systems and probabilistic AI models, why that distinction matters, and how technologies such as Microsoft Copilot, Claude, Oracle Cloud Infrastructure (OCI) AI Services, MCP (Model Context Protocol), and JD Edwards Orchestrator can work together to enable secure, enterprise-ready AI solutions. Designed for executives, IT leaders, CNC administrators, architects, developers, and functional consultants, this session focuses on real-world lessons learned, security, token management, governance, auditability, and best practices for AI adoption. Attendees will leave with a clear understanding of key AI concepts, the emerging enterprise AI architecture landscape, and a practical framework for evaluating, governing, and implementing AI initiatives within their JD Edwards environment. Key takeaway: “The challenge isn’t getting AI to talk to JD Edwards. The challenge is safely connecting a probabilistic technology to a deterministic system of record.”
This session is eligible for the following CPE certification: NASBA
Speakers: Andy Bird, Inoapps USA
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