- The Concept: EPM handles your core financial planning, but it relies heavily on historical financial data. AIDP can ingest, clean, and structure massive external datasets (e.g., global commodity prices, inflation indices, or regional weather data).
- How they work together: AIDP feeds these non-financial drivers directly into EPM's Advanced Predictions engine via a zero-copy or direct database connection. EPM can then test machine-learning models (like Prophet, XGBoost, or LightGBM) against these hybrid datasets to generate hyper-accurate revenue and demand forecasts.
If Oracle can provide connectors/adaptors with native out of the box, it would be great
Idea by Nandan Vankadari - Docusign
