How Knowledge Graphs Help Identify Bad Financial Actors and Commercial Opportunities at Scale

Register to attend now

In this webinar, we’ll demonstrate how multi-hop graph techniques explore proximity and paths to illuminate relationships and communities of interest,  and use the challenge of identifying bad financial actors and commercial opportunities to get under the hood of working with knowledge graphs.

That means exploring connections across multiple hops, analysing paths and communities, and doing it across very large datasets with the languages you already use (e.g. Python).

You’ll see how to:

• Explore complex networks using multi-hop graph techniques and graph analytics.
• Use notebooks to interrogate and analyse connected data.
• Scale graph-based analysis across large, complex datasets.

If you work with graphs, data science and analytics, this will be a practical look at what these techniques enable, with live examples.

-> Register now. 

All the best, Matt & Steve

P.S. If you can't attend, sign up and you'll get the recording.