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.
Ontotext and the Datavengers came together at 2023 Big Data London, the UK’s leading data, analytics and AI event. Working as partners, Ontotext and the Datavengers emphasized the importance and necessity of knowledge graphs as a critical part of a foundation that supports data solutions and overcoming business challenges. Our clients leverage GraphDB as the core of their interconnected data foundation, and we enjoyed the opportunity to speak to many people about our capabilities.
Knowledge graphs help: