Building Scalable IoT Digital Twins Using Graph Data Technology
Date & Time
Monday, September 12, 2022, 9:40 AM
Michael Moore

Michael Moore, Ph.D. will be sharing strategies and approaches for leveraging the industry-leading graph data technology to build large-scale digital twins capable of unifying data across disparate sources, delivering rich analytics, and supporting near real-time monitoring of critical assets. With a graph database, you can easily understand and query the relationships between devices, networks, sensors, and users. Also hear how Neo4j digital twin analytical use cases include interventions, predictive maintenance, bill of materials management and network dependency analyses.