At Neo4j we believe that “Graphs Are Everywhere”.
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.
Benoît est un développeur en informatique passionné par les nouvelles technologies et la philosophie du libre.
Kelsey Bieri is a Data Governance Analyst at ICC in the Master Data Management and Data Governance Practice. She has contributed to numerous data governance and data lineage projects in the Banking industry, helping organizations build a better understanding of their data universe. Kelsey holds a degree in Management Information Systems from the College of Business at Ohio University.