Smarter AI with Analytical Graph Databases
Event Information
About this event
Today's analytical graph databases are taking organisations to another level by connecting all their data, representing knowledge better, and obtaining answers to deeper questions in real-time. Hear from Uri Lapidot as he explains how Intuit integrates machine learning with graph databases for a graph-based AI approach to reducing risk and fraud. Additionally, Martin Darling will share how other TigerGraph customers are accelerating their analytics, AI and machine learning projects to increase revenue, manage risks and improve customer experience.
17:00 - 17:15 - Driving Business Outcomes with Graph Database & AI
Following a short Introduction to TigerGraph, Martin will share how customers such as Jaguar Land Rover, KickDynamic, and NewDay use real-time analytics to revolutionise business operations in supply chain management, customer 360, recommendation engines and credit card fraud.
Speaker: Martin Darling, VP EMEA, TigerGraph
17:15 - 17:45 - Using Graph to Boost AI
As part of Intuit’s transformation to an AI-driven Expert Platform company, the Risk and Fraud team relies heavily on graph-based technologies to prevent fraud at scale. One of the challenges Intuit was facing is how to integrate machine learning with graph databases for a graph-based AI approach. In this talk, we will share Intuit’s Fraud and Risk Platform’s mission and architecture, the role graph plays in our end-to-end solution, as well as techniques for Data Scientists to develop, test, and integrate graph-based features with AI models.
Speaker: Uri Lapidot, Senior Product Manager, Intuit
17:45 - 18:00 - Q&A
Put your questions to Uri and Martin
Organiser IsraelClouds by MarkeTech Group
Organiser of Smarter AI with Analytical Graph Databases
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