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.
Realizing the benefits of a knowledge graph, in a cost-effective and timely manner, is about understanding your business needs and selecting the right tool. With the right preparation and right tool, you can have a knowledge graph up and running in minutes.
Silver Oliver, Head of Information Architecture, and Paul Wilton, CEO, from Data Language introduce you to a new tool in the knowledge graph ecosystem, showing how you can quickly build a graph for a domain model, populate it with data, and integrate it with other apps, systems, or an enterprise graph database.