Artificial Intelligence (AI) and Machine Learning (ML) are no longer abstract concepts for the future; they are accessible tools being embedded directly into the BI platforms your team uses today. For JD Edwards users, this presents a massive opportunity to drive unprecedented insight and efficiency. However, the success of any AI initiative hinges on one key ingredient: a clean, reliable, and business-friendly data foundation.
This session moves beyond the theoretical to provide a practical guide for unlocking the power of AI with your JDE data. We will begin by tackling the single most important factor for success: data preparation. You will learn how to overcome the common challenges of raw JDE data—from cryptic table names and complex structures to Julian dates—and build an automated, centralized data foundation that truly fuels AI.
Join us to see AI in action and discover how it empowers every user across your organization:
· For the Analytics Consumer: See how end-users can move beyond static charts and get instant, AI-generated narratives that summarize key insights , explain the drivers behind performance spikes , and automatically detect anomalies they might have otherwise missed.
· For the Dashboard Creator: Learn how to shift from drag-and-drop to a direct conversation with your data. We’ll demonstrate how AI-powered “Copilots” can build entire report pages from a simple prompt and edit visuals using plain-English commands.
· For the Analytics Developer: Discover how AI can be your co-pilot for building a more intelligent data architecture. See how AI can generate complex SQL from natural language , run forecasting functions directly within the data Lakehouse , and automate documentation.
You will leave this session with a clear understanding of the future of analytics and actionable next steps for your data science journey. No prior data science experience is required—just a desire to transform your JDE data into your most valuable asset.
