Perform fine-grained forecasting at the store-item level in an efficient manner, leveraging the distributed computational power of the Databricks Data Intelligence Platform.

Supply Chain Optimization

Overall Equipment Effectiveness: Performant and Scalable End-to-End Equipment Monitoring

Perform demand forecasting at the part level rather than the aggregate level to minimize disruptions in your supply chain and increase sales. Manage material shortages and predict overplanning

Deploying and Maintaining Models on the Edge in Manufacturing

Enabling Computer Vision Applications With the Data Lakehouse

Time series analysis of IOT data on Databricks using DLT and Tempo

Walkthrough of how to scale out existing ML code and skillsets for IOT defect detection on Databricks

Ship-to-Ship Transfer Identification using Geospatial Analytics

📈 Generate accurate demand forecasts with Python using synthetic data, featuring ARIMA/SARIMA modeling, evaluation metrics, and reproducible visualizations.