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DTSTAMP:20260610T143400Z
DESCRIPTION:Click for Latest Location Information: http://edw2023fall.datav
 ersity.net/sessionPop.cfm?confid=157&proposalid=14484\nFINRA receives hundr
 eds of thousands of documents and big data each year from stockbrokers and 
 investors to be reviewed and analyzed. They are looking for the information
  about people, places, and things mentioned in these documents. It is a lab
 or-intensive process to extract entities from free text and semi-structured
  data, let alone connect those entities to each other and identify signific
 ant regulatory patterns.\n\nIn our talk, we will share our experience build
 ing a knowledge graph data pipeline that starts from ingesting massive amou
 nts of data from varieties of data sources to leveraging graph data to iden
 tify patterns that provide business value.\n\nAttendees will learn:\n\n
 How both structured and unstructured data come together\n
 Statistical and machine learning approaches for sanitizing data\n
 Automating data documentation\n
 How we use AWS services to provide data to other users\n\n
DTSTART:20230919T154500
SUMMARY:Connecting the Dots with a Knowledge Graph
DTEND:20230919T162959
LOCATION: See Description
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