Bootstrap your large scale forecasting solution on Databricks with Many Models Forecasting (MMF) Project.
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Updated
Oct 9, 2024 - Python
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.
Overall Equipment Effectiveness: Performant and Scalable End-to-End Equipment Monitoring
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.
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)
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
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