The Graph + AI Summit is focused on accelerating analytics, AI, and machine learning projects with graph algorithms. 

  • October 5 and 19 from San Francisco and New York
  • October 7-18 Graph+AI Virtual Academy
  • October 20 in China
  • November 18 in Singapore
  • Spring 2022 - Europe and Americas

  • The Graph + AI Summit is Now On Demand

    Log In to the Event Portal to Watch the Keynotes from October 5:

    Distinguished VP Analyst, Gartner Inc.

    Vice President Enterprise Data Strategy, Customer, and Marketing IT, Dell Technologies

    Group Manager (AI, ML, Data Science, Cloud), Intuit Corporation

    Distinguished Engineer in AI and Graph, Optum

    Decision Science Lead, Mercury NZ

    October 19, 2021

    Executive Vice President, AI and Security Solutions, Mastercard

    CTO, Teradata

    Analyst, GigaOm, ZDNet and VentureBeat Contributor

    October 7 - 18 Online Sessions and Workshops:

    October 7 

    Algorithms powering Graph + AI

    October 8

    Graph Query Languages 

    October 11

    Graph + AI Industry and Partner Day –  case studies in Banking, Insurance and Fintech 

    October 12

    Graph + AI Industry and Partner Day  –  case studies in Tech, Advertising, Media and eCommerce

    October 13

    Graph + AI In the Cloud – featuring AWS, Azure and GCP 

    October 14

    Graph + AI Developer Day – full day of training and certification

    October 15 

    Graph + AI Industry and Partner Day – case studies in Healthcare and Life Sciences

    October 18

    Graph + AI Ecosystem


    Why Should I Attend?

    If you are a business or IT executive:

    Learn How To Accelerate Analytics, AI & ML

    Featured case studies in healthcare, banking, media, entertainment, telecom, retail and eCommerce companies

    Understand How To Use Graph Algorithms With Analytics, AI & ML

    Deliver next-generation entity resolution, MDM, customer 360, fraud detection, recommendation engine & supply chain optimization


    Attend Hands-On Workshops with Other Practitioners

    Explore and build advanced analytics patterns and machine learning features with GUI (no coding required)

    If you are a data scientist, engineer or architect:

    Learn To Integrate Graph Into Your Analytics & AI Projects

    Get Certified On Graph Algorithms For Machine Learning

    See Real-World Examples That Use Graph With AI & ML