ADVERTISEMENT FEATURE: With over a decade of military and cyber intelligence experience, including training alongside NATO, Iulian Timischi introduces the urgent need for a new model of intelligence analysis that can keep pace with our modern data-driven age.

ADVERTISEMENT FEATURE: In today’s intricate financial landscape, uncovering financial crime is more crucial than ever. Fundamentally, it’s a network problem: diving into the intricate web of ownership structures, often extending through multiple levels and involving numerous entities.

ADVERTISEMENT FEATURE: In the ever-evolving world of law enforcement, staying one step ahead is critical. The ability to expect, rather than merely react, is what often tilts the balance in solving cases. This paradigm shift is feasible with sophisticated intelligence software like HUME.

ADVERTISEMENT FEATURE: Defined as a tactic that uses advanced analytics for proactive crime prevention and supporting investigations, predictive policing identifies intervention targets, solves past crimes, and makes effective crime prevention policies. Due to the adoption of knowledge graph databases and their rigorous nature, such analysis is starting to become commonplace.

ADVERTISEMENT FEATURE: The all-too-common challenge of working within a modern policing environment: mountains of data from databases are disconnected and siloed. Users have to search through dozens of systems and conduct disconnected crime analysis, manually uncovering key linkages between entities. At the vanguard of policing technology, a growing graph-structured data model called a knowledge graph is proving invaluable.