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Graphing Grifters: Identify & Display Patterns of Corruption With Oracle Graph Studio
Ever wonder how your bank knows when to text you when a potentially fraudulent transaction appears on its radar? It’s simple if you know how to apply the right algorithms to financial transactions so that outliers become readily apparent. These techniques can be applied to just about any anomalous behavior, and property graph technology helps make outliers stand out dramatically.

Through presentations and online demonstrations, this session will:

• Show how to use appropriate ML algorithms already built into Oracle Database to uncover anomalous patterns
• Demonstrate Oracle Graph Studio’s capabilities to identify and display outliers more clearly
• Introduce the basic concepts of PGQL (Property Graph Query Language) to look at tabular data in completely new ways

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Presented by Jim Czuprynski

Jim Czuprynski has over forty years of professional experience in Information Technology, serving diverse roles at various Fortune 1000 companies before becoming an Oracle DBA in 2001. He has been an Oracle ACE Director since 2014 and is a sought-after public speaker on Oracle technology, presenting often at Oracle OpenWorld, Oracle CODE, COLLABORATE, KSCOPE, Oracle Development Community tours, and Oracle User Group conferences around the world.

Jim has authored 100+ articles on Oracle Database administration, ML/analytics, and APEX since 2003 at databasejournal.com, IOUG SELECT, and ODTUG TechCeleration and has co-authored four books on Oracle database technology. Jim’s blog, Generally … It Depends (https://jimthewhyguy.com), contains his regular observations on all things Oracle and the state of the IT industry. Jim also co-hosts the Beyond Tech Skills podcast (https://www.beyondtechskills.com), which discusses everything about tech … except tech.

This event is co-hosted by the New York Oracle Users Group (www.nyoug.org) and Oracle Professional Services firm, Viscosity North America (www.viscosityna.com)
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