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.
Through years of development with our enterprise customers, product partners, and open-source technology communities, we have refined proven approaches to meet these data demands and drive powerful analytic solutions using graph, cloud, and AI/ML technologies. Join us as we share foundational use cases enterprises are embracing to change the way they organize and integrate their data landscapes.
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.
