P-053166: The AI-Powered JD Edwards Ecosystem

This session was presented at INFOCUS 2026.

This session explores what it takes to give AI agents secure, real-time, governed access to JD Edwards EnterpriseOne data—and what that unlocks: natural-language answers instead of report requests, exceptions caught before they become problems, and decisions based on what’s happening now instead of last week’s data. Your JD Edwards data is some of the richest, most trustworthy data in your business, yet it’s often locked away from the AI tools your teams are already trying to use. Ask an LLM about open orders, inventory, or production, and it either can’t answer or relies on stale exports. That gap is the difference between AI experiments and AI delivering operational value. For manufacturers, the opportunity extends beyond ERP. Machine and process data in MES, SCADA, HMI, and PLC systems rarely makes it into JDE, leaving both people and AI without a complete operational picture. Learn how connecting shop-floor systems into the same governed data foundation enables AI to answer questions, flag anomalies, automate exception handling, and reduce manual work. Real-world examples include improving JD Edwards and Salesforce data accuracy from 40% to 90%+, recovering 60+ hours per week through automation, cutting order reprocessing in half, and creating a single, trusted, real-time operational view. The message isn’t “replace what you have.” It’s unlocking the full value of your JD Edwards investment by making its data securely accessible to both your people and AI.

This session is eligible for the following CPE credit: NASBA.

Speaker: Harinderpal Hanspal, Magic Software Enterprises: Inc.