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Unlock Smarter Insights at Scale with Machine Learning on Connected Data

Recorded: Wednesday, August 17, 2022

TigerGraph’s Machine Learning (ML) Workbench is a Jupyter-based Python development framework that enables data scientists to quickly build powerful, deep-learning AI models using connected data. Due to its accurate predictive power, the ML Workbench enables organizations to unlock even better insights and greater business impact.

Attend this webinar to learn:

  • How ML Workbench is addressing the challenges inherent in building graph neural networks and enabling innovative companies to unlock smarter insights.
  • New functionality in the most recent release and a demo of the latest capabilities. 


Andrew Wei
Principal Product Manager, TigerGraph

Parker Erickson
ML Engineer, TigerGraph