Online: Graph Analytics - Rich Relationships and Powerful Insights

Data Works MD
Data Works MD
Public group

Online event

Link visible for attendees


John returns for another action-packed live demo featuring graph analytics! Grab your laptop and headphones, and get ready for a tour of how graph analytics can be used for a range of problems.

6:00 PM -- Greetings

6:05 PM -- Graph Analytics - Rich Relationships and Powerful Insights - John Hebeler

7:30 PM -- Closings

Zoom and YouTube Streaming
A link will be sent out prior to the event. Please note that Zoom is capped at 100, so if you do not get into Zoom, you will be able to watch via YouTube.

Graph Analytics: Rich Relationships = Powerful Insights
Demo-Driven exploration of graph analytics to identify criminals, discover trolls, analyze social networks, and more using community detection, centrality, link prediction, and graph embedding for incorporation into machine learning models, along with creating graphs from Wikipedia via wikidata. Includes all you need to get started and a review and use of two graph query languages – cypher and SPARQL across multiple environments including Neo4J, Amazon Neptune, and Nvidia Cuda graphs for large scale graph processing using GPUs. Relationships are what it is all about

John Hebeler, Fellow for Lockheed Martin, is a developer of large scale, data-driven solutions using machine learning, graph analytics, and high-speed messaging across computer resources that reach from the clouds to the edge. Along the way he writes, presents, and teaches - (mostly learns and plays). He holds a Phd in Information Systems, an MBA, and a BSEE.