Yu Xu's guest appearances

Yu Xu

Finding Genius Podcast

Growth Investor with GrowthCap‘s RJ Lumba

Orchestrate all the Things podcast: Connecting the Dots with George Anadiotis

Gary Marcus

Scott Turner

Scott Anderson

Steve Murray

Jonah Sachs

Eric Hippeau

Chris Impey

Kevin Sorbo

Stuart Duncan

David Berlinski

Derek Abbott

Lewis Cohen

Azra Raza

Angel Hack

Leah Segedie

OwlTail

In this episode we chat with Dr. Yu Xu, who has been building TigerGraph, a platform for advanced analytics and machine learning on connected data, for nearly a decade.   After being in stealth mode for several years, Yu emerged to attract not only some of the largest and most sophisticated corporate clients but also some of the biggest and best investors. He’s raised nearly $200 million in just a few years from the likes of Tiger Global and Softbank and this is just the beginning.  His graphing technology is dramatically reducing the time it takes companies to analyze data and has an estimated market size of $100 billion. We hope you enjoy the show.

In this episode we chat with Dr. Yu Xu, who has been building TigerGraph, a platform for advanced analytics and machine learning on connected data, for nearly a decade.   After being in stealth mode for several years, Yu emerged to attract not only some of the largest and most sophisticated corporate clients but also some of the biggest and best investors. He’s raised nearly $200 million in just a few years from the likes of Tiger Global and Softbank and this is just the beginning.  His graphing technology is dramatically reducing the time it takes companies to analyze data and has an estimated market size of $100 billion. We hope you enjoy the show.

Tiger Global and Softbank: Bullish on Dr. Yu Xu’s TigerGraph

Todd Blaschka

The largest funding round to date in the graph market is good news not just for TigerGraph, but for the market at large.  We review TigerGraph's progress and the market landscape with TigerGraph CEO Yu Xu and COO Todd Blaschka Article published on ZDNet

The largest funding round to date in the graph market is good news not just for TigerGraph, but for the market at large. We review TigerGraph's progress and the market landscape with TigerGraph CEO Yu Xu and COO Todd Blaschka <a href="https://www.zdnet.com/article/up-and-to-the-right-tigergraph-scores-105-million-series-c-funding-the-graph-market-is-growing/" rel="nofollow" target="_blank">Article published on ZDNet</a>

Up and to the right: TigerGraph scores $105 million Series C funding, the Graph market is growing. Featuring TigerGraph CEO Yu Xu, COO Todd Blaschka

Launched in September 2017, TigerGraph is a distributed graphing and data analytics platform that can produce real-time graphs in under 1 second from many different types of data, including product data, production and supply data, marketing data, and social data such as customer use information. It is popular in many different industries, including financial services, banking, and e-commerce. The production of graphs in real-time, from data that is streamed to the platform, is highly beneficial for companies, who can deploy it for use cases including catching financial fraud in real-time or validating the authenticity of money transfers. TigerGraph can also be used to create snapshots over time, to see trends in the data. Over the next year, TigerGraph intends to integrate more artificial intelligence capabilities into their platform, as well as working on scaling their platform out to be able to handle larger groups of data while still providing real-time graphs and analysis. For more information, visit www.tigergraph.com

Launched in September 2017, TigerGraph is a distributed graphing and data analytics platform that can produce real-time graphs in under 1 second from many different types of data, including product data, production and supply data, marketing data, and social data such as customer use information. It is popular in many different industries, including financial services, banking, and e-commerce. The production of graphs in real-time, from data that is streamed to the platform, is highly beneficial for companies, who can deploy it for use cases including catching financial fraud in real-time or validating the authenticity of money transfers. TigerGraph can also be used to create snapshots over time, to see trends in the data. Over the next year, TigerGraph intends to integrate more artificial intelligence capabilities into their platform, as well as working on scaling their platform out to be able to handle larger groups of data while still providing real-time graphs and analysis. For more information, visit <a href="http://www.tigergraph.com" rel="nofollow" target="_blank">www.tigergraph.com</a>

TigerGraph — Dr. Yu Xu, CEO and Founder — A High-Performance, Distributed Graphing and Data Analytics Platform