April 2021 On-Demand Sessions
On-Demand Sessions
Graph + AI Summit - Spring 2021
- Graph + AI – Industry Landscape – Noel Yuhanna, Vice President, Principal Analyst, Forrester Research
- Graph-Powered Transformation With Digital Twins – Harry Powell, Director Data & Analytics, Jaguar Land Rover
- Combining Machine Learning and Graph For Business Outcomes – Brad Spiers, Executive Director, JPMorgan Chase
- Building the Next-Generation AI with Graph – Jure Leskovec, Chief Scientist at Pinterest, Professor at Stanford University
- Improving Fraud Detection with Graph + AI – Danny Clark, Head of Fraud Strategy, NewDay
- Graph and Machine-Learning Enhance Trust – Matt Teshera, Sr. Vice President, Enterprise Data Solutions at WarnerMedia
Executive Roundtables
- The Future of Graph Query Languages (Moderator – James Kobielus, Franconia Research) Panelists: Jan Hidders, Juan Sequeda, Data.World, Dr. Alin Deutsch, Chief Scientist, TigerGraph, Stephen Cannan, Cannan Consultancy and Keith W. Hare, JCC Consulting
- Hardware-Accelerated Graphs for Analytics and Machine Learning – (Moderator – Chris Preimesberger, Editor-in-Chief, Week) Panelists: Dr. Nikhil Deshpande, Director of AI and HPC, Intel, Anurag Juneja, Analytics Architect, Dell and Kumar Deepak, Distinguished Engineer, Xilinx
- Accelerating Digital Transformation With Graph and AI – (Moderator: Tom Taulli, Forbes) Dr. Jay Yu, Distinguished Engineer and Architect, Intuit, Jan Ippen, CEO, Ippen Digital & Harry Powell, Director Data and Analytics, Jaguar Land Rover
Banking, Insurance and Fintech Track
- Using Graph to Boost AI – Uri Lapidot, Senior Product Manager, Intuit
- Combating Financial Crimes With Graph Databases and Analytics – Heather Adams, Managing Director, Accenture
- Open Data & Graph Analytics for Risk Management and Compliance – Farley Mesko, CEO, Sayari Labs
- Graph and AI Adoption in Property and Casualty Insurance – Sai Burra, CTO, Abhay Solutions
- Improving the Insurance Claims and Underwriting with Graph – Ramaswamy Venkateshwaran, CTO, Infinilytics
- Fintech Applications of Graph Network: Anti-fraud, Loan App Classification, ID-Mapping of Natural Person – Kai Zhang, Fintell
- Generate More Value From the Same Existing Data – with Graph-Powered Entity Resolution for Financial Crime Detection and Customer360 – Charlie Beveridge
Healthcare, Life Sciences and Government Track
- Improving the Treatment of Acute Lymphoblastic Leukemia Using Graph Analytics – Jesper Vang, Technical University of Denmark
- Increase Market Share and Profitability with Graph-Based Doctor-and-Product 360 – Sharat Endapally, Data Engineering Manager, Exact Sciences, Scott Heath, VP, Expero
- Beyond Context: Answering Deeper Questions for Healthcare and Life Sciences with Spark NLP and Graph – Christian Kasim Loan, Sr Data Scientist, and Spark/Scala ML Engineer, John Snow Labs, Abhishek Mehta, Director Field Engineering, TigerGraph
- COVID-19 Contact Tracing and Smart Lockdown – Yaya Sylla, SaH Analytics
- Data Quality Enhancements For Graph Data – Terry Goodman, Intech
Partnering for Graph + AI Track
- Exploring the Benefits of Being a TigerGraph Partner – Michael Shaler, David Ronald, TigerGraph
- Revolutionizing the Way AML Teams Look at PEPs: An Entity Resolution Case Study – Maria Singson and Deepti Soni, Mastech Infotrellis
Graph + AI In The Cloud Track
- Introduction to TigerGraph Cloud – Emma Liu and Duc Le, TigerGraph
- How TigerGraph Cloud Uses AWS to Power the Scalable Graph Database-as-a-Service – Jack Secord, Analytics Specialist, AWS, Emma Liu and Duc Le, TigerGraph
- Building the next-generation machine learning solutions with Amazon Sagemaker and TigerGraph Cloud – Phi Nguyen, AI/ML Architect, AWS, Jon Herke, TigerGraph
Combining NLP with Graph for Analytics and AI
- Creating Semantic Graph from Medical Documents – Akash Kaul, Developer Relations, TigerGraph
- Integrating RASA Pipeline with Graph – Mohamed Zrouga, TIgerGraph
Enterprise Ecosystem for Graph + AI Track (9:30 AM - 12:00 PM US Pacific)
- Hardware Considerations for Faster and Deeper Insights from your Large Scale Graph – Dr. Nikhil Deshpande, Director of AI and HPC, Intel Corporation
- Delivering Large Scale Real-time Graph Analytics with Dell Infrastructure and TigerGraph – Anurag Juneja, Analytics Architect, Dell Corporation
- Run TigerGraph in Containers – TigerGraph in Amazon Elastic Kubernetes Service and Google Kubernetes Engine– Emma Liu and Wenbing Sun, TigerGraph
- Integrating Graph with Snowflake Data Warehouse – Xinyu Chang, TigerGraph
- Building a No-Code Machine Learning Pipeline – Jon Herke and Mohamed Zrouga, TigerGraph
Visualization of Connected Data for Analytics and AI Track (9:30 AM - 11:00 AM US Pacific)
- Visualizing Connected Data with Tableau + TigerGraph – Bethany Lyons, Sr. Product Manager, Tableau Software, Emma Liu, Rayees Pasha, TigerGraph
- Scale your Interactive Graph Visualizations with GPUs, Design, and Low-Code: How & Why– Leo Meyerovich, Graphistry
- Web-App Hackathon Winners – Qi Chen, LiuXiu
Data Science with Graph Algorithms and Machine Learning (9:30 AM - 12:00 PM US Pacific)
- Trends and opportunities and Graph-based AI – Dr. Arvind Sathi, Director of AI Literacy, KPMG
- Machine Learning for Fraud Detection with Graph – Xinyu Chang and Nalu Zou, TigerGraph
- Fighting Financial Crimes with Graph Analytics: A Deep Dive – Graham Ganssle, Head of Data Science and Scott Heath, VP, Expero
- Building a Comprehensive Data Lineage Solution with a Graph Database – Robb Horton, TigerGraph
- Guard against Cyber-Security Threats with TigerGraph – Vladimir Slesarev, TigerGraph
- Leverage Graph Data to Detect Fraud in Real-time – Xie Wei and Hiep Doan, Gojek
Live Workshops
- Zero to Advanced Analytics and Machine Learning in 90 minutes with TigerGraph Cloud – Vladimir Slesarev, TigerGraph
- Building the Next Generation Customer Experience with Graph and Machine Learning – Abhishek Mehta, TigerGraph
- Double the Performance of Your Fraud Detection System with Graph and Machine Learning – Szilard Barany and Richard Henderson, TigerGraph
