The Countdown Begins: Join Us For Graph + AI Summit, Spring 2021
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- The Countdown Begins: Join Us For Graph + AI Summit, Spring 2021
Enter into our social media contest! Share which session you are most excited for with the hashtag #graphaisummit between April 14 – April 22, 2021. Five winners will be chosen for a $50 prize.
One more week until the highly anticipated second Graph + AI Summit.
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:
- “Improving the Treatment of Acute Lymphoblastic Leukemia Using Graph Analytics with AI and Machine Learning”: The Technical University of Denmark’s Jesper Vang will discuss how combining graph analytics with AI, machine learning and translational bioinformatics creates models that can predict the risk of relapse and toxicity within acute lymphoblastic leukemia treatments.
- “Increase Market Share and Profitability with Graph-Based Doctor-and-Product 360”: Exact Sciences’ Sharat Endapally and Expero’s Scott Heath share a case study and a live demonstration of a Doctor-and-Product 360 application built using TigerGraph’s graph database, algorithms and Customer 360 toolkit.
- “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.
- “Accelerating Digital Transformation with Graph and AI”: Forbes’ Tom Taulli will moderate a panel featuring executives from Intuit, Ippen Digital, Jaguar Land Rover and IBM about the role graph and AI play in a company’s journey to be a digital-first organization.
- “Accelerating Graph-Based Analytics and Machine Learning with the Next-Generation Hardware”: eWeek’s Chris Preimesberger moderates a panel with executives from Intel, Dell and Xilinx about how hardware industry leaders are building the future of graph-based analytics and machine learning to deliver higher performance for enterprise workloads.
- “Using Graph to Boost AI”: Uri Lapidot, senior product manager, Intuit, shares best practices from the risk and fraud team to use graph-based technologies to prevent fraud at scale.
- “Open Data and Graph Analytics for Risk Management and Compliance”: Farley Mesko, CEO, Sayari Labs, shares how graph technology can help financial institutions combine their internal data with authoritative open data to increase corporate transparency and comply with key KYC, AML, sanctions and supply chain regulations.
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:
- “Building the Next Generation Customer Experience with Graph and Machine Learning”
- “Double the Performance of Your Fraud Detection System with Graph and Machine Learning”
- “Zero to Advanced Analytics and Machine Learning in 90 minutes with TigerGraph Cloud”
View Graph + AI Summit’s agenda: https://www.tigergraph.com/graphaisummit/#day1
Register and secure your complimentary spot: https://www.tigergraph.com/graphaisummit/