Press

Press

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How the World’s Largest Banks Use Advanced Graph Analytics to Fight Fraud

Advanced graph analytics provides deeper insights, complementing BI, and helps organizations preempt and prevent potential fraud while protecting customers. Read more here.

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Five Forward Looking Thoughts on Data Analytics

CEO, Dr. Yu Xu:

The phrase “2020 vision” implies that someone is able to see clearly. In this article I examine five technologies that have the potential to have a profound impact on business leaders’ ability to see the future clearly and make better-informed decisions in 2020.

Read the five predictions for 2020 here.

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The insideBIGDATA IMPACT 50 List for Q1 2020

TigerGraph has moved up to spot 19 on The insideBIGDATA IMPACT 50 List for Q1 2020. See more here.

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techtarget

Up-and-coming BI vendors to watch in 2020

Promising BI startups look to gain a foothold in 2020 by focusing on underserved markets and embracing next-gen technologies not available in traditional analytics tools. Read more here.

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Diagnosis Fraud: How Data Science Can Diagnose Healthcare Fraud and Identify Dirty Doctors

Think of it as AI, ML, and graph for good by taking a proactive and preemptive approach to identifying patterns and eradicating illegal and irresponsible activities. Read more here.

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Relational databases can no longer tackle white collar crime

Native parallel graph databases may be useful here. They can dig deep through money trails, going as many levels as needed, 10, 20 or more, across datasets on a global scale. They are designed to traverse unknown paths to find connections, no matter how deep that connection goes. Read more here.

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Database trends and applications

Trend-Setting Products in Data and Information Management for 2020

TigerGraph honored as a Trend-Setting Product by DBTA. Read more here.

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TigerGraph Enhances Its Cloud-Based Graph Database For AI Workloads

Today’s updates are focused on improving artificial intelligence and machine learning workloads, and include configuration for distributed graphs and replica instances for high availability, plus the ability to leverage elastic file systems for backup and restore. Read more here.

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How graph databases can help address healthcare fraud, waste, abuse

It’s never been more important for healthcare organizations to identify nefarious practices and take steps to eliminate them. Graph databases are a key ally in the fight. Read more here.

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TigerGraph: Scalable Graph Database for the Enterprise

EM360 Editor-in-Chief Max Kurton spoke to Martin Darling, Regional Manager at TigerGraph. Martin outlines TigerGraph’s scalable graph database and its newly launched cloud database service, he then discusses some use cases and examples of how this benefits organisations. Watch here.

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