Intelligent Graphs: A Look at the Future of Enterprise AI

DVDC is happy to host its 1Q Roundup in partnership with our friends at Data Science DC (https://www.meetup.com/Data-Science-DC/), Columbia GraphDB (www.meetup.com/Columbia-GraphDB-MeetUp), GraphDB Baltimore-Washington (www.meetup.com/graphdb-baltimore/).

GraphAware (www.graphaware.com) is in town for (www.neo4j.com/graphtour) and wanted to give us a sneak peak on some of their projects. We have three interesting presentations for this evening.

Agenda:

6:30-7:00 Food and Networking
7:00-7:10 Announcements
7:10-7:30 Skynet: Building Your Own Doomsday Robot is Easy
7:30-8:00 Graph-Powered Machine Learning
8:00-8:30 Knowledge Graphs and Chatbots with Neo4j and IBM Watson
8:30-8:40 Q&A
8:40 Data Drinks at Circa Foggy Bottom

Talk 1:
Skynet: Building Your Own Doomsday Robot is Easy
Speaker: Kevin Van Gundy

In this talk, Kevin will focus on helping developers find the lowest hanging fruit for AI and Graphs. This talk will first discuss on where graph databases are appropriate or inappropriate in an "AI-First stack." Then, Kevin will review architectural strategies for implementing intelligent graphs at scale as well as some incremental adoption pathways to get there.

Bio:
Kevin is the Head of Enterprise Deployment Strategy @Neo4j. He is voraciously passionate about data. He loves building intelligent systems-- whether it's automated trading bots, simplicial graph transformers, or even a good old fashioned recommendation engine. Whether graph technology is optimal solution or not, helping users succeed is where Kevin finds the most satisfaction.
Off the clock, Kevin an inept aspiring mountaineer and a bike racer. Most Saturdays you can find Kevin on a mountain somewhere or more likely at his favorite espresso bar clacking away on his keyboard on his latest project.