WEBINAR: Register for the 2021 Fall Graph + AI Summit - 5th and 19th October 2021

 

Sponsored News from Data Science Central Graph + AI Summit Fall - October 2021 The Graph + AI Summit is focused on accelerating analytics, AI, and machine learning with graph algorithms. The Fall Summit returns October 5 from San Francisco and October 19 from New York (in-person attendance by nomination). Sessions and keynotes will be streamed live on each date with online content and workshops available in between.   The Graph + AI Summit held this spring attracted 7,000 attendees from 74 countries. Data scientists, data engineers, architects, and business and IT executives from over 182 of the Fortune 500 companies participated in April's event. Speakers included experts from JPMorgan Chase, New Day, Intuit, Amazon, Exact Sciences, Jaguar Land Rover, Pinterest, Stanford University, Forrester Research, Accenture, Capgemini, KPMG, Intel, Dell, and Xilinx, along with many innovative startups. The Graph + AI Summit Fall 2021 roster will feature many of these thought leaders along with new speakers from the world’s largest companies across all industries. Rita Sallam Distinguished VP Analyst and Gartner Fellow at Gartner Research will deliver the opening remarks at Graph + AI Summit, San Francisco, on October 5. Mrs. Sallam's focus includes tracking and predicting market trends, vendor assessment and selection, and identifying best practices for making analytics pervasive and strategic to the business.  Dan McCreary, Distinguished Engineer in AI and Graph at Optum (a division of UnitedHealth Group) will present an overview of key use cases combining Graph with machine learning to find similar patients and improve provider recommendations for over 50 million customers.  Gautam Gupta, Technology Leader focused on AI, ML, Data Science, and Cloud at Intuit Corporation will share how AI-based customer 360 has boosted fraud detection by 50% and is powering entity resolution and personalized recommendations for Intuit's customers.  Join us in October and level-up your knowledge as a data scientist, engineer, architect, or business executive with sessions covering: Graph case studies in three industry tracks: Banking, Insurance, and Fintech Technology, Advertising, Media, and Entertainment Healthcare, Life Sciences and Government Hands-on workshops and technical breakout sessions for the integration of graph algorithms into your Analytics and AI projects Certification on graph algorithms for machine learning Enterprise-ready visualization dashboards that integrate AI with your graph-based solutions Secure your complimentary virtual registration and learn more about in-person attendance and speaking submissions: