Within 2 months we had already delivered an Azure cloud-native, scalable Data Hub that had streaming and data warehousing capabilities. To facilitate innovation and tackle complexity, we set up the Data Hub with a ‘sandbox environment’ which allows different teams to automatically request and receive their own isolated and secure environment within the Data Hub where they can experiment, log data, and build use cases which can then be validated and streamlined across the whole organisation faster and easier.
On top of that, using sensor data from the quality assurance machines, we developed and deployed a model that is able to predict and benchmark tyre quality across plants. Tyres were classified into ‘pass’ or ‘fail’ attending to a threshold of several quality measurements which included seasonal patterns. The solution was developed incrementally and deployed using MLflow within Databricks.
The Data Hub solution, which Anchormen specialists developed, helps Bridgestone EU accelerate their digital transformation and brings them one step closer to creating a Smart Factory. By enabling the use of their manufacturing data and adding advanced analytics and A.I. capabilities, we help them deliver not only operational excellence but also increase the scalability and speed of deployment in a connected and secure way.