The Graph + AI Summit was created to democratize and accelerating analytics, AI and machine learning with graph algorithms.
“The combination of analytics, AI, machine learning and graph is a powerful one that offers many ‘human benefits’ — and forward-looking companies in all industries have taken note” – Dr. Yu Xu, founder and CEO of TigerGraph
Our first event was a huge success with over 3,000 attendees from 56 countries, and welcomed data scientists, data engineers, architects and business and IT executives from 115 of the Fortune 500 companies.
Our Spring 2021 Graph + AI Conference will host over 6,000 attendees and again focus on accelerating analytics, AI and machine learning with graph algorithms — timely technologies that are on the minds of today’s business leaders.
Graph + AI Summit 2021 includes keynote presentations, executive roundtables, technical breakout sessions, industry tracks (“banking, insurance and fintech,” “healthcare, life sciences and government”) and live workshops for advanced analytics and machine learning.
Keynote speakers presenting during conference general sessions include:
Brad Spiers, executive director at JPMorgan Chase, will share lessons learned from combining machine learning and graph at JPMorgan Chase during the opening day general session.
Harry Powell, director data and analytics at Jaguar Land Rover, will discuss the next phase of Jaguar Land Rover’s graph-powered transformation journey with digital twins. So far, the company has accelerated supply chain planning from three weeks to 45 minutes and driven more than 100 million pounds annually in incremental profits with advanced analytics.
Noel Yuhanna, vice president and principal analyst at Forrester Research, will discuss the graph and AI industry landscape and share insights from Forrester clients driving business outcomes from graph-based analytics, AI and machine learning.
Danny Clark, head of fraud strategy at NewDay, will explain how the company identifies and prevents fraudsters from joining their network faster than ever before by using graph and machine learning to check data against known and new fraud syndicates.
Dr. Jure Leskovec, chief scientist at Pinterest and professor at Stanford University, will outline how graph technology powers AI and what’s next in terms of the evolution of graph neural networks for delivering the next-generation AI.
Notable roundtables and interactive sessions include:
“COVID-19 Contact Tracing and Smart Lockdown”: This session will outline how to devise a solution for contact tracing and smart lockdown using graph technologies— a solution that helps track COVID-19 patients, their potential contacts and identifies high-risk public places efficiently and precisely.
Graph + AI Summit sessions will also cover the following topics:
The integration of graph algorithms into your analytics and AI projects
The future of graph query languages, including GQL and SQL PGQ standards
Graph enrichment techniques that leverage NLP for enhanced knowledge retrieval
Unsupervised and supervised machine learning with graph
Popular graph use cases including fraud detection, anti-money laundering (AML), recommendations, data lineage, knowledge graph, supply chain, network analysis, patient and doctor 360, disease prediction and prevention
Register for one of these live workshops for advanced analytics and machine learning now:
Dr. Jay Yu is the VP of Product and Innovation at TigerGraph, responsible for driving product strategy and roadmap, as well as fostering innovation in graph database engine and graph solutions. He is a proven hands-on full-stack innovator, strategic thinker, leader, and evangelist for new technology and product, with 25+ years of industry experience ranging from highly scalable distributed database engine company (Teradata), B2B e-commerce services startup, to consumer-facing financial applications company (Intuit). He received his PhD from the University of Wisconsin - Madison, where he specialized in large scale parallel database systems