In recently naming graph technology one of their top 10 trends data and analytic trends for 2021, the Gartner Group highlighted an emerging pattern: today an ever increasing number of F1000 organizations are implementing graph technology not to address point graph use cases, but rather data integration and analytics use cases through enterprise scale knowledge graph platforms. The data diversity, complexity and volume inherent within these initiatives places scalability and functional demands on the underlying knowledge graph technology- far beyond what has typically been required in the past. In this session, we will explore the specific challenges associated with deploying a knowledge graph at enterprise scale with a special focus in six key areas:

Data Source Diversity
Performance and Efficiency
Deployment Flexibility
Interactive Querying
Ease of Use
Security

Ben Szekley is the Chief Revenue Officer and co-founder of Cambridge Semantics, a company built around big data management. Ben talks about the issues his customers go through and he provides several use cases of scalable knowledge graphs to help provide an insight on what Cambridge Semantics does to build out the knowledge graph space. #knowledgegraphs #knowledgegraphconference #knowledgegraphandbigdataprocessing #knowledgegraphsinindustry