Industry
Time:
Wednesday, April 22, 2020 - 13:45 to 15:30
Talks
As demands for customer and business data become increasingly complex, organizations struggle to cope with the volume and variety of data spread across myriad enterprise data systems. Inconsistent terminologies and data representations make it difficult to integrate and extract knowledge across this ecosystem. Emerging knowledge graph and advanced data technologies provide approaches to tackle some of these challenges through increased interoperability and data integration.
Stephen Kahmann
iNovex Corp
https://www.inovexcorp.com/
As an Ohio State engineering graduate, Stephen Kahmann started his career as a software engineering intern at iNovex, where he discovered the benefits of applying graph data technologies to solve complex data problems in a variety of domains. After completing his master’s degree in Computer Science at Johns Hopkins University, he helped build the foundation for the iNovex Foundry.
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