Doubling the Performance of AI for Fraud Detection with Graph
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Using TigerGraph and some Python machine-learning, we show you how anyone can build a payment fraud system that halves the number of frauds and reduces the number of inappropriately blocked transactions.
Using TigerGraph and some Python machine-learning, we show you how anyone can build a payment fraud system that halves the number of frauds and reduces the number of inappropriately blocked transactions. Richard will cover the entire stack in this demonstration, including data, architecture and code.
Author Name: Big Data LDN
Author Description:
Big Data LDN (London) is a free to attend conference and exhibition, hosting leading data and analytics experts who are ready to equip you with the tools you need to deliver your most effective data-driven strategy. Discuss your business requirements with 130 leading technology vendors and consultants, hear from 150 expert speakers in 9 technical and business-led conference theaters, and network with thousands of fellow data experts.
Table of Contents
- Doubling the Performance of AI for Fraud Detection with Graph
43mins
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