In this session, we’ll be taking a look at graphs within the Manufacturing industry generally, and more specifically in the Automotive industry. We’ll review the types of data that are typically available within a manufacturing company, illustrate some graphs which can be created from that data, and discuss the use cases those graphs can enable and transform. The use cases presented will include Bills of Materials, Supply Chain Management, Logistics, and Claims Processing.
We will also discuss where graph algorithms and integration with Artificial Intelligence/Machine Learning technologies can be used along with Neo4j to unlock new value from manufacturing data.