Agenda

9:00

Welcome Breakfast

9:30

Introduction & Vision

9:30

9:50

Modernizing the AML/CTF practice with state of the art graph technology

9:50

10:20

Our graph technology journey: Getting graph insights to end users

10:20

10:50

Break

11:10

Threat modeling: Mitigating cybersecurity risks with graphs

11:10

11:40

From raw data to rich insights: Unlock the power of unstructured data

11:40

12:10

Q&A Panel Discussion

12:30

Lunch

13:45

Decision Intelligence: from Theory to Practice

13:45

14:15

Creating knowledge graphs from structured and unstructured data by leveraging entity resolution

14:15

Knowledge graphs have become popularized within the context of Generative AI, for example in GraphRAG use cases to "ground" LLMs with domain-specific facts and mitigate "hallucinations" within the results of chatbots, agents, etc. However, there are much broader use cases for knowledge graphs in industries beyond GraphRAG. For example, investigative graph practices provide foundations for use cases such as anti-money laundering (AML), ultimate beneficial owner (UBO), and other areas of addressing risks, financial crime, sanctions compliance, cyber attacks, counter-terrorism, and so on. Moreover, graph algorithms can be used to "focus a lens" on data at scale, augmenting visualizations to reveal hidden insights in ways that graph queries alone cannot produce -- for a wide range of applications. There are also machine learning techniques emerging for measuring the quality of a graph as it evolves through data updates, identifying potential problems areas to troubleshoot.
 
While much of the contemporary AI literature emphasizes how to construct knowledge graphs automatically using LLMs, in this talk we will step back and examine the workflows needed for generating knowledge graphs from structured and unstructured data sources within regulated environments. Employing state-of-the-art open models and open source libraries at each step, we will explore how to combine the use of entity resolution and entity linking to produce graphs that emphasize data quality, curation, and feedback from domain experts, while making affordances for audits, evidence-based decision making, and practices required for mission-critical enterprise applications in highly-regulated environments.

14:45

Q&A Panel Discussion

15:00

Break

15:20

Linkurious Roadmap

15:20

15:50

Linkurious product demo

15:50

16:20

Q&A Product

16:40

Wrap Up & Drink Reception

Please note: the details of the agenda are subject to change. We reserve the right to modify sessions, hours, and speakers. We encourage you to check this page for the latest changes or updates and we apologize in advance for any inconveniences.

 

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