Machine Learning for Manufacturing (MFG ML) is a end-to-end solution accelerator that builds and deploys a machine learning model for tool wear detection using Manufacturing Data Engine and Vertex AI.

The Machine Learning for Manufacturing solution accelerator includes the following components:

1. Manufacturing Connect and Manufacturing Connect edge

   • Factory edge platform co-developed with Litmus Automation that connects to manufacturing assets and streams the asset telemetries to Manufacturing Data Engine.

2. Manufacturing Data Engine

   • Pub/Sub: message broker for factory telemetries and integration point for factory edge platform and MDE.
   • Dataflow: fully managed and unified stream and batch data processing pipeline.
   • Cloud Storage: object storage for structured and unstructured factory data.
   • BigQuery: serverless data warehouse for storing structured and semi-structured factory data.
   • Cloud Bigtable: fully managed NoSQL database optimized for storing factory time series data.

3. Vertex AI

   • Unified AI platform for building and deploying machine learning models.

4. Looker

   • Business intelligence platform optimized for Google Cloud integration.

For instructions to deploy this solution accelerator, please see deployment.md.