| Who we are
We are a software solution provider with a wide range of products and solutions to help enterprises driving digital transformation succeed in a fast-changing environment. We are experts in the Fintech industry and gained a reputation as a trusted vendor for security measurements, quality of execution, and reliability. We are customer-oriented and adding our professional services, we provide one-stop ultimate enterprise solutions.
| Event Highlights
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)!
| Outline
▶ Fraud and AML SOLUTION
▶ Graph Data Science
▶ Graphs for Fraud Detection
▶ Demo: Fraud Detection using Neo4j
| Guest Speaker
Neo4j General Manager - Greater China Region
Robin Fong 方俊強
| About Guest Speaker
▶ 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
AIOT & Data Application Division Engineer at TPIsoftware
Tang-Wei Hung 洪堂瑋
| About Lecturer
▶ Neo4j Graph Data Science Certified
▶ Neo4j Certified Professional
▶ Google Cloud Professional Machine Learning Engineer
| Event Time
May 26 (THU) 19:00-20:30 (GMT+8)
*In response to epidemic prevention measures, this tech workshop will be held online only.
After you've successfully registered, you'll receive the webinar link the day before the event and the afternoon of the event day. Please remember to check the inbox of the email you registered with.
