Whether you’re interested in advanced analytics or enhanced ML and AI, graph data science enables you to use the network structures in your existing data to improve predictions.
This online event is a full day of thought leadership on graph data science, featuring speakers from the German Centre for Diabetes Research (DZD), AstraZeneca, Meredith Corporation and more, as well as Neo4j experts like Senior Data Scientist, Alicia Frame.
With a graph framework, data science is practical and scalable, while encouraging prototyping and exploration. Join us for Connections: Graph Data Science and discover what’s possible.
Sr. Dir Global Commercial IT Insight and Analytics, AstraZeneca
Head of Data and Knowledge Management, DZD
Senior Data Scientist
Meredith
Director Product Management, End-User Applications, Neo4j
Senior Data Scientist
Neo4j
Senior Pre-Sales Consultant
Neo4j
Director, Graph Analytics and AI Programs, Neo4j
Graph Analytics Engineer, Team Lead, Neo4j
CMO
Neo4j
Subject to Change
Note: Times shown are in Pacific Time
Lance Walter, CMO, Neo4j
Kick-off
Alicia Frame, Senior Data Scientist and Amy Hodler, Director Graph Analytics and AI Programs, Neo4j
What Is GDS and Neo4j’s GDS Library
Anurag Tandon, Director Product Management, End-User Applications and Amy Hodler, Director Graph Analytics and AI Programs, Neo4j
Illustrating Graphs Visually through Neo4j Bloom
Benjamin Squire, Senior Data Scientist, Meredith Corporation
Identity Graph at Scale: Transforming Billions of Page Views to Unique Identity Profiles in Publishing
Dr. Alexander Jarasch, Head of Data & Knowledge Management, German Center for Diabetes Research (DZD)
Graphs for Data Science in Public Health Research
Joe Roemer, Sr. Director of Global Commercial IT Insight and Analytics, AstraZeneca
Improving Patient Outcomes with Graph Algorithms
Joe Depeau, Senior Pre-Sales Consultant, Neo4j
Graph Data Science DEMO for fraud analysis
Mats Rydberg, Graph Analytics Engineer, Team Lead
Graph Data Science WORST Practices