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Read more about the article Diagnosis Fraud: How Data Science Can Diagnose Healthcare Fraud and Identify Dirty Doctors

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

  • Post author:Andrew
  • Post published:December 16, 2019
  • Post category:

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.

Continue ReadingDiagnosis Fraud: How Data Science Can Diagnose Healthcare Fraud and Identify Dirty Doctors
Read more about the article Relational databases can no longer tackle white collar crime

Relational databases can no longer tackle white collar crime

  • Post author:Andrew
  • Post published:December 13, 2019
  • Post category:

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…

Continue ReadingRelational databases can no longer tackle white collar crime
Read more about the article Trend-Setting Products in Data and Information Management for 2020

Trend-Setting Products in Data and Information Management for 2020

  • Post author:Andrew
  • Post published:December 4, 2019
  • Post category:

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

Continue ReadingTrend-Setting Products in Data and Information Management for 2020
Read more about the article TigerGraph Enhances Its Cloud-Based Graph Database For AI Workloads

TigerGraph Enhances Its Cloud-Based Graph Database For AI Workloads

  • Post author:Andrew
  • Post published:December 3, 2019
  • Post category:

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…

Continue ReadingTigerGraph Enhances Its Cloud-Based Graph Database For AI Workloads

TigerGraph Improves Its Graph Database-As-A-Service With Enhanced Performance And More Robustness

  • Post author:Andrew
  • Post published:December 3, 2019
  • Post category:

TigerGraph Cloud updates make it even easier, faster and secure for enterprises to run graph analytics on production workloads LAS VEGAS, NV – AWS re: Invent -- Dec. 3, 2019…

Continue ReadingTigerGraph Improves Its Graph Database-As-A-Service With Enhanced Performance And More Robustness
Read more about the article How graph databases can help address healthcare fraud, waste, abuse

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

  • Post author:Andrew
  • Post published:November 26, 2019
  • Post category:

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.

Continue ReadingHow graph databases can help address healthcare fraud, waste, abuse
Read more about the article TigerGraph: Scalable Graph Database for the Enterprise

TigerGraph: Scalable Graph Database for the Enterprise

  • Post author:Andrew
  • Post published:November 22, 2019
  • Post category:

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…

Continue ReadingTigerGraph: Scalable Graph Database for the Enterprise
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Dr. Jay Yu

Dr. Jay Yu | VP of Product and Innovation

Dr. Jay Yu is the VP of Product and Innovation at TigerGraph, responsible for driving product strategy and roadmap, as well as fostering innovation in graph database engine and graph solutions. He is a proven hands-on full-stack innovator, strategic thinker, leader, and evangelist for new technology and product, with 25+ years of industry experience ranging from highly scalable distributed database engine company (Teradata), B2B e-commerce services startup, to consumer-facing financial applications company (Intuit). He received his PhD from the University of Wisconsin - Madison, where he specialized in large scale parallel database systems

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Todd Blaschka | COO

Todd Blaschka is a veteran in the enterprise software industry. He is passionate about creating entirely new segments in data, analytics and AI, with the distinction of establishing graph analytics as a Gartner Top 10 Data & Analytics trend two years in a row. By fervently focusing on critical industry and customer challenges, the companies under Todd's leadership have delivered significant quantifiable results to the largest brands in the world through channel and solution sales approach. Prior to TigerGraph, Todd led go to market and customer experience functions at Clustrix (acquired by MariaDB), Dataguise and IBM.