Apply Semantics to Meet Data Demands


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.


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