2020 On-Demand Sessions
Watch all of our sessions from Graph + AI World Fall 2020, now on-demand.
DISCLAIMER: GRAPH+AI WORLD 2020 IS ORGANIZED BY TIGERGRAPH AND NOT AFFILIATED WITH AIWORLD.COM, AIWORLDGOV.COM, OR CAMBRIDGE INNOVATION INSTITUTE
Graph + AI World Sessions
Keynotes
Day 1 Keynote featuring Ed Sverdlin, VP Advanced Technology Collaborative, R&D, UnitedHealth Group
Day 1 Keynote featuring Harry Powell, Director Data and Analytics, Jaguar Land Rover
Day 2 Keynote featuring Dr. Jay Yu, Distinguished Engineer and Architect, Intuit
Business Case Studies, Executive Roundtables and Industry Sessions
Graph-Based Identity Resolution at Scale – Xandr (part of AT&T) case study
Chinmay Nerurkar, Xandr
Dr. Subha Narasimhan, Xandr
Dr. Yana Volkovich, Xandr
Michael Berry, Xandr
How to Build an AI-Based Customer 360 Platform – Intuit case study
Gautam Gupta, Intuit
Kumar Ramanathan, Intuit
Executive Roundtable – Realigning Business and Tech Priorities for Covid-19 Pandemic
Alice Grout-Smith, Jaguar Land Rover
Chris J. Preimesberger, eWeek
Ed Sverdlin, UnitedHealth Group
Yaya Sylla, SaH Analytics
Executive Roundtable – Transforming Media & Entertainment With Graph + AI
Abraham Greenstein, AT&T
Jan Ippen, Ippen Digital
Timothy Prickett Morgan, The Next Platform
Executive Roundtable – Transforming Financial Services With Graph + AI
Dr. Jay Yu, Intuit
Rebecca Lee, OpenCorporates
Tom Taulli, Forbes
Investor Executive Roundtable –
New Opportunities Unlocked By Graph + AI
Tom Taulli, Forbes
Jai Das, Sapphire Ventures
Steven Xi, Eastlink Capital
Application of Graph Model in Fintech and Risk Management
Jing Wang, CEO, Fintell
Data Scientist Panel: Transforming Data Science with Graph + AI
Chinmay Nerurkar, Xandr
Dan McCreary, Optum
Jon Herke, TigerGraph
The Future of Graph Query Languages: the GQL and SQPGQ Standards
Keith Hare, JCC, Jeffrey Lovitz, Redis Labs, Dan McCreary, Optum, Juan Sequeda data.world, Dr. Alin Deutsch, TigerGraph & Tony Baer, dbInsight
Graph + AI in Financial Services
Abhishek Mehta, Director Field Engineering, TigerGraph
Fraud Detection and Compliance with Graph Learning
Sai Burra, Abhay Solutions
Accelerating Innovation at the Confluence of Human-Curated Content and Artificial Intelligence
Mark Grabau, Chief Analytics Officer, CAS
Graphs For the Future Energy Systems
Adrián Miranda, University of Oviedo
Correspondent Banking Networks: Theory and Experiment
Nima Safaei & Taha Jaffer, Scotiabank
Graph + AI for Customer Experience
Steven Fuller, TigerGraph
Use Case Focused Sessions Combining Graph Algorithms and AI
Innovative Architecture for Real Time Healthcare Analytics
Dan McCreary, Optum
Nikhil Deshpande, Intel
Fast Parallel Similarity Calculations with FPGA Hardware
Dan McCreary, Optum
Kumar Deepak, Xilinx
Building a State of the Art Fraud Detection System with Graph + AI
Richard Henderson, TigerGraph
The Key to Creating a Golden Thread: The Power of Graph Databases for Entity Resolution
Charlie Beveridge, Accenture
Supply Chain & Logistics Management with Graph DB & AI
Amadeus Tunis, Publicis Sapient
Deep Link Analytics Empowered by AI + Graph + Verticals
Dongyan Wang, Landing AI
Building An Accurate Understanding of Consumers Based on Real-World Signals
Ravi Kaushik & Sandeep Singh, Near
Hardware Accelerated Machine Learning Solution for Detecting Fraud and Money Laundering Rings
Kumar Abhishek, Xilinx
Dr. Victor Lee, TigerGraph
Fraudulent Credit Card Cash-Out Detection
Huaikang Xing & Jiachen Shen
Delivering Large Scale Real-time Graph Analytics with Dell Infrastructure and TigerGraph
Anurag Juneja, Dell
TigerGraph Financial Crimes UI Toolkit
Scott Heath, Expero
Michael Shaler, TigerGraph
TigerGraph UI Toolkits
Scott Heath, Expero
Michael Shaler, TigerGraph
Sessions Featuring Cutting-Edge Graph & AI/ML Technology
Care Intervention Assistant – A Real-Time Approach to Omaha Clinical Data Classification Using Chatbot Interactions
Recommendation Engine with In-Database Machine Learning
Changran Liu, TigerGraph
Mingxi Wu, TigerGraph
Better Together: How Graph Databases Enable Easy Data Integration with Spark and Kafka in the Cloud
Emma Liu, TigerGraph
Rayees Pasha, TigerGraph
Deploying an End-to-End Enterprise Architecture with Kafka, MariaDB, and PyTigerGraph
Bruno Šimić, TigerGraph
Szilard Barany, TigerGraph
From Dataframes to Graph: Data Science with pyTigerGraph
Parker Erickson, Optum
Introduction to the TigerGraph Developer Portal with Machine Learning
Jon Herke, TigerGraph
Training and Certification Sessions for Graph Algorithms and Machine Learning
Business User Workshop: Designing Advanced Analytics Patterns with TigerGraph 3.0 No-Code GUI
Emma Liu & Abhishek Mehta, TigerGraph
Hands-on Workshop: Accelerating Machine Learning with Graph Algorithms
Dr. Changran Liu & Dr. Victor Lee, TigerGraph
Introduction to Graph Algorithms for Machine Learning Certification
Dr. Victor Lee, TigerGraph
Deep-Dive for Power Users – Best Practices in Graph Query Writing
Xinyu Chang, TigerGraph
Building Business User GUI with Streamlit Visualization Platform
Akash Kaul & Rohan Shiva, Futurist Academy
Randy Zwitch, Streamlit
Ramping up on Knowledge Graphs with TigerGraph and AI
Dr. Arvind Sathi & Vamsi Krishna Duvvuri, KPMG
Neena Sathi, Applied AI Institute
How Graph + AI Fits in Your Enterprise Architecture
Xinyu Chang & Dr. Victor Lee, TigerGraph
Relational and RDF to Graph – A Data Engineer’s Journey
Abhishek Mehta, Emma Liu & Steve Fuller, TigerGraph
Laying the Business Foundations for Enterprise Knowledge Graphs
Kurt Cagle, CTO, Semantic LLC & Community Editor, Data Science Central
