Bridge Meetup: Making Sense of Complex Data Extractions

  • November 21st
    • Online
    • Webinar

What to expect?


GraphAware Bridge Meetup is not our typical webinar; rather, it is an invite-only meeting reserved for selected clients, partners, and potential clients. This event adheres to the Chatham House Rule, fostering an environment of open and candid discussions. Participants are free to use the information received but neither the identity nor the affiliation of the speaker(s), nor that of any other participant, may be revealed.

Making Sense of Complex Data Extractions

The next edition of GraphAware Bridge Meetup (Note: more about last edition here), will explore how connected data analysis can help to interpret complex data extractions through two advanced use cases.

Agenda

  • 16:00-16:20, 21st November, 2024

Advanced Views of Intelligence – Suspect Nomination

GraphAware Science and Technology team will demonstrate how law enforcement agencies can leverage graph technology to rapidly cross-reference diverse data sets and generate suspect candidate lists from investigative input. Using Action Boards, we will explore a clear and interactive view of suspect candidate lists and analyse phone forensics data of the primary suspects.

Federica and Fabio banner
  • 16:20-16:40, 21st November, 2024

Entity-Relationship Extraction and Mapping From Complex Unstructured Data Using LLMs 

Our partner Redhorse will demonstrate, using sanctions data and military intelligence to reveal insights on the drone parts supply chain, how their approach to LLMs can be used to extract large volumes of unstructured data from very diverse sources. Dennis Silva from Redhorse will showcase their innovative knowledge graph (KG) extraction architecture: aligning LLMs to extended OSINT schemas, then linking extracted entities within a curated entity-resolved target graph.

  • Q&A
  • 16:40~17:10

Discussion

After the presentations, an open discussion will follow with live voice questions enabled. The discussion will be open until all questions are answered. 

This is an exclusive opportunity to connect, share, and inspire among like-minded security and data analysis professionals.