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Neo4j with GDS and ML for Financial Fraud Detection - Online Webinar

Neo4j with GDS and ML for Financial Fraud Detection - Online Webinar

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You'll learn how to detect first-party financial fraud using Neo4j, and leverage graph algorithms and machine learning for fraud prediction.

About this event

Graph databases have fueled new types of applications in the era of big data. From recommendation systems of social network and e-commerce to financial services data relationships, Neo4j can capture the complex relationship of data and network structure, allowing faster problem solving.

Compared to traditional databases, Neo4j is intuitive, simple and understandable to non-technical users. In this workshop, you will learn how to detect first-party financial fraud using Neo4j, and leverage graph algorithms and machine learning for fraud prediction.

Please join us on Thursday, May 26th at 19:00 (Taiwan Time/GMT+8)!

Event Highlights:

  • Fraud and AML SOLUTION
  • Graph Data Science
  • Graphs for Fraud Detection
  • Demo: Fraud Detection using Neo4j

Guest Speaker:

Robin Fong, Neo4j General Manager - Greater China Region

  • General Manager for Neo4j Greater China Region
  • 10+ years experience in regional sales and business development focusing on Data Analytics with software companies like Qubole, MapR, Pivotal, SAP and Oracle
  • Worked as consultant with Accenture and 3M
  • An established thought leader in Big Data Analytics and regular speaker at industry and IT events

Lecturer:

Tang-Wei Hung, AIOT & Data Application Division Engineer at TPIsoftware

  • Neo4j Graph Data Science Certified
  • Neo4j Certified Professional
  • Google Cloud Professional Machine Learning Engineer

Contact Us:

TPIU  | YouTube | TPIsoftware | Facebook | LinkedIn

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