Accelerate Analytics and AI with Graph Algorithms

Virtual Event for Data, Analytics & AI | April 21-23, 2021

Introducing

Graph + AI Summit

Graph + AI Summit is the first and only open conference for accelerating analytics, AI and machine learning with graph algorithms. Join us on April 21 and 22.

Speakers

Executive Director, JPMorgan Chase

Director of Data & Analytics, Jaguar Land Rover

Head of Fraud Strategy, NewDay

Chief Scientist at Pinterest | Professor, Stanford

Vice President, Principal Analyst, Forrester Research

Distinguished Engineer and Architect, Intuit

CEO, Ippen Digital Media

Managing Director, Resilience Risk & Trust, Accenture

Director of Product Development, Intel

Distinguished Engineer, Xilinx Inc.

Cancer Research, Technical University of Denmark

Analytics Architect, Dell

Senior Product Manager, Tableau Software

Vice President, Expero

Analytics Specialist, AWS (Amazon Web Services)

CEO, Sayari

GM Data Science, Mastech InfoTrellis

 

Chief Executive Officer, SaH Analytics International

Senior Data Scientist and Spark/Scala ML Engineer, John Snow Labs

Founder, Graphistry

Director AI Literacy, KPMG

 

VP & Senior Partner, IBM

Principal, Applied AI Institute

Graph + AI Summit Sessions

April 21

Day 1

  • 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 OutcomesBrad Spiers, Executive Director, JPMorgan Chase

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 (9:00 AM - 12:00 PM US Pacific)

Healthcare, Life Sciences and Government Track (9:00 AM - 11:30 AM US Pacific)

Partnering for Graph + AI Track (9:00 AM - 10:30 AM US Pacific)

Day 2

  • Building the Next-Generation AI with GraphJure Leskovec, Chief Scientist at Pinterest, Professor at Stanford University
  • Improving Fraud Detection with Graph + AIDanny Clark, Head of Fraud Strategy, NewDay
  • Graph + AI In CloudAWS Executive (to be announced)

Executive Roundtables (8:30 AM - 9:30 am US Pacific)

  • 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

Graph + AI In The Cloud Track (9:30 AM - 11:00 AM US Pacific)

Combining NLP with Graph for Analytics and AI (9:30 AM - 11:00 AM US Pacific)

Enterprise Ecosystem for Graph + AI Track (9:30 AM - 12:00 PM US Pacific)

Visualization of Connected Data for Analytics and AI Track (9:30 AM - 11:00 AM US Pacific)

  • Visualizing Connected Data with Tableau + TigerGraphBethany Lyons, Sr. Product Manager, Tableau Software, Emma Liu, Rayees Pasha, TigerGraph
  • Web App Hackathon – Session 1 Hackathon 1st Prize Winner
  • Web App Hackathon – Session 2Hackathon 2nd Prize Winner

Data Science with Graph Algorithms and Machine Learning (9:30 AM - 12:00 PM US Pacific)

Day 3 - Workshops

Live Workshops (7:00 AM - 9:00 AM US Pacific)

Live Workshops (9:00 AM - 11:00 AM US Pacific)

Live Workshops (11:00 AM - 1:00 PM US Pacific)

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 advances 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