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 and inspected at scale.
6:30 PM - 7:00 PM, food, refreshments, and 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
Data about real world entities are fragmented across disparate datasets all over the public and 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 and inspected at scale. Jarrod will dig into character, word and statistical based matching features and show how it can be used as features for context-specific match classification.
Jarrod Parker is Principal Data Scientist at Enigma. He studied network security at Rochester Institute of Technology with a passion in machine learning and 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.
Food and drinks will be available at the event, courtesy of Enigma. We look forward to meeting you!