Most business applications store only current state, losing the historical context needed for effective AI. Event sourcing addresses this by capturing every change as an immutable event in an append-only log, creating a 'black box' for business operations. This rich event history enables AI use cases like customer journey prediction, dynamic pricing, churn modeling, and demand forecasting. A real-world case study shows a German manufacturer used event-sourced data to train a cost estimation model achieving 91% accuracy with 15,000 historical data points. The post promotes Kurrent as a purpose-built event sourcing platform.
Table of contents
The Black Box Your Business Doesn't HaveTwo Ways to Model Data: State vs. Event-based data modelPowering AI with Your Business Black BoxCase Study: Predicting Manufacturing Costs with 91% AccuracyBuild Your Business Black Box258 Impressions