Presentation

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Presentation: Introduction to Knowledge Graphs

July 7, 2020
Joe Hilger Sara Nash

This workshop presentation from Joe Hilger, Founder and COO, and Sara Nash, Technical Analyst, was delivered on June 8, 2020 as part of the Data Summit 2020 virtual conference. The 3-hour workshop provided an interdisciplinary group of participants with a definition of what a knowledge graph is, how it is implemented, and how it can be used to increase the value of an organization’s data. This slide deck gives an overview of the KM concepts that are necessary for the implementation of knowledge graphs as a foundation for Enterprise Artificial Intelligence (AI). Hilger and Nash also outlined four use cases for knowledge graphs, including recommendation engines and natural language query on structured data.

Slide Deck

Joe Hilger Joe is Enterprise Knowledge's COO. He has over 20 years experience leading and implementing cutting edge, enterprise-scale IT projects. He has worked with an array of commercial and public sector clients in a wide range of industries including financial services, healthcare, publishing, hotel and lodging, telecommunications, professional services, the federal government, non-profit, and higher education. Joe uses Agile development techniques to help his customers bridge the gap between business needs and technical implementation. He has a long track record of leading high-performance professional teams to deliver enterprise-level solutions that provide real value. His development teams have a strong record of client satisfaction, innovation and leadership. Joe is an expert in implementing enterprise-scale content, search, and data analytics solutions. He consults on these areas with organizations across the country and has spoken on a wide range of topics including enterprise search, enterprise content management, big data analytics, Agile development and content governance. More from Joe Hilger »
Sara Nash Sara is a Principal Consultant of Semantic Engineering. She specializes in Semantic Layer and Enterprise AI initiatives, leading throughout strategy, design, and implementation. She has led taxonomy/ontology design, knowledge graph implementation, recommendation engine solutions, and advanced analytics platforms across financial services, pharmaceuticals, ESG consulting, workforce enablement, and more. More from Sara Nash »