On Monday, December 10th, Jarrod Parker, Principal Data Scientist at Enigma, will be speaking on how Enigma's Knowledge Graph went from search-based queries to match-based queries, allowing for fragmented input data to be confidently matched & inspected at scale.

Schedule

6:30 PM - 7:00 PM, food, refreshments, & networking
7:00 PM - 8:00 PM, main speaker event
8:00 PM - 8:30 PM, Q&A, more networking

Talk Title: From Search Engine to Match Engine

Talk Description:

Data about real world entities are fragmented across disparate datasets all over the public & private internet. Hear about how Enigma's Knowledge Graph went from search-based queries to match-based queries, allowing for fragmented input data to be confidently matched & inspected at scale. Jarrod will dig into character, word & statistical based matching features & show how it can be used as features for context-specific match classification.

Speaker Bio

Jarrod Parker is Principal Data Scientist at Enigma. He studied network security at Rochester Institute of Technology with a passion in machine learning & ontology. After developing entity disambiguation systems for a defense contractor, he led engineering at a social video startup called VYou, which happened to share an office space with Enigma. When he's not linking all the public data, he's at home learning to play a new instrument or trying to regularize his models.

Misc

Food & drinks will be available at the event, courtesy of Enigma. We look forward to meeting you!