Graph + AI World:                   

Graph + AI in Financial Services

Graph + AI World Session - Recorded September 2020
From fraud detection to explainable AI, graph technologies are equipping data science teams with newer and better algorithms as they turn “T+X” systems into real-time workflows. Join us to learn why six out of top 10 global banks have made TigerGraph a core part of their data, consumer, and commercial banking strategies.
 

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“TigerGraph is highly configurable ands can fit your specific use case. Whether you’re trying to get super fast query times or run heavy graph processing algorithms, setting the right configuration on your cluster will make all the difference.”

Xandr

About TigerGraph

TigerGraph is the only scalable graph database for the enterprise. Based on the industry’s first Native and Parallel Graph technology, TigerGraph unleashes the power of interconnected data, offering organizations deeper insights and better outcomes. TigerGraph fulfills the true promise and benefits of the graph platform by tackling the toughest data challenges in real time, no matter how large or complex the dataset. TigerGraph’s proven technology supports applications such as fraud detection, customer 360, MDM, IoT, AI and machine learning to make sense of ever-changing big data, and is used by customers including Amgen, China Mobile, Intuit, Wish and Zillow, along with some of the world’s largest healthcare, entertainment and financial institutions. 

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TigerGraph
3 Twin Dolphin Drive, Suite 225
Redwood City, CA 94065

sales@tigergraph.com
www.tigergraph.com