Provide consistent unified access to data across different systems by using the flexible and semantically precise structure of the knowledge graph model
Implement a Connected Inventory of enterprise data assets, based on a knowledge graph, to get business insights about the current status and trends, risk and opportunities, based on a holistic interrelated view of all enterprise assets.
Quick and easy discovery in clinical trials, medical coding of patients’ records, advanced drug safety analytics, knowledge graph powered drug discovery, regulatory intelligence and many more
Make better sense of enterprise data and assets for competitive investment market intelligence, efficient connected inventory management, enhanced regulatory compliance and more
Connect and model industry systems and processes for deeper data-driven insights in:
Improve engagement, discoverability and personalized recommendations for Financial and Business Media, Market Intelligence and Investment Information Agencies, Science, Technology and Medicine Publishers, etc.
What are the use cases for knowledge graph solutions across industries? What are the deployment patterns that you should consider? What is the technology ecosystem around a graph database? If these questions are top of mind when considering a knowledge graph solution, then this panel is for you!
Learn from system integrators who have been delivering and scaling successful knowledge graph solutions. This panel is moderated by Juan Sequeda and a special edition of the Catalog and Cocktails podcast, an honest, no-bs, non-salesy conversation about enterprise data management.