Graph + AI World:                   

Hands-on Workshop: Accelerating Machine Learning with Graph Algorithms

Graph + AI World Session - Recorded September 2020
In this workshop, you'll get the chance to perform several different approaches to machine learning with graph data. After setting up your free TigerGraph Cloud account and machine instance, we'll do the following:
  • Unsupervised learning with graph algorithms
  • Feature extraction and graph enrichment
  • External training and integrated solutions with notebooks
  • In-database ML techniques for graphs
We will have a range of data sets for different use cases.

Watch the Session


You gotta use the right tool for the right job. If you only have one user in the system, you are just doing single analytics and you have time to load terabytes of data into your RAM, Spark might be an option. But it is only going to fit about 2-3% of the use cases that we use TigerGraph for.

Dan McCreary, Optum

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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