Bootstrap your large scale forecasting solution on Databricks with Many Models Forecasting (MMF) Project.

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

Digital twins are created using data derived from sensors (often IoT or IIoT) that are attached to or embedded in the original object. This data provides both structural and operational views of what happens to the object in real time, allowing engineers to monitor systems and model systems dynamics.

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

Code for "A MFG Model for the Dynamics of Cities" (Barilla, Carlier, Lasry 2021)

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

Apache OFBiz is the goto #opensource #ERP solution, with a suite of business applications flexible enough to be used across any industry. A common architecture allows developers to easily extend or enhance it to create custom features.

Ship-to-Ship Transfer Identification using Geospatial Analytics

Graphon Mean FIeld Game