Resources - Hume - page 2

Videos, Slides, Case Studies and other GraphAware related resources

Tracking Data Sources of Fused Entities in Law Enforcement Graphs

18 Jun 2022 videos Hume law Enforcement

Graphs are commonplace in investigative, intelligence, and law enforcement work. One of the primary advantages of a graph is to connect data from various data sources, digital and human, and maximize insights across deep and complex networks of connections, bringing them together in fusion centers for a centralized view of suspicious activities. For analysts, data quality and trust is key. The reliability, validity, and general consistency of data sources that contribute to forming real world fused entities is a factor that influences the analysts’ interpretation of events. This session talks about the challenges related to surfacing these aspects of data provenance and various approaches that can be employed to address them using Neo4j. We will touch on graph modeling, implications for data security, and how sources and information ratings can be effectively shared with analysts who need access to them.

Intelligence Use Cases for Graph Data

10 Jun 2020 videos Hume Intelligence

In this video, Michal Bachman, CEO of GraphAware, discusses how graph data can be used to identify unknown unknowns in intelligence. He emphasizes the importance of context in gaining a deeper understanding of complex systems and how graph data can reveal patterns, relationships, and connections that were previously unknown. Overall, the video provides valuable insights into the potential applications of graph data in intelligence.