An event focused on accelerating analytics, AI, and machine learning projects with graph algorithms. Watch all sessions on-demand now. 

Recorded October 5-19, 2021

Graph + AI Summit

The fall Graph + AI Summit returns in October as a hybrid event with in-person attendance in San Francisco on October 5 and New York on October 19. From October 7-18, Virtual Academy sessions and workshops will be streamed in the event portal.

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

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

GRAPH + AI SUMMIT

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

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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