TigerGraph's Machine Learning Workbench is a Jupyter-based Python development framework that gives data scientists the ability to build powerful deep-learning AI models and explore Graph Neural Networks quickly and easily.

In this episode, Victor Lee, VP of Machine Learning and AI at TigerGraph, talks about the efforts to bring the Machine Learning Workbench to market. He also provides answers to the most popular questions he hears, "Why graph?" and "Why TigerGraph?" as well as some insight into the work being done to create a standard graph query language.

Learn more about TigerGraph's Machine Learning Workbench.