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.
Martina Markova, Business Analyst, and Stancho Yordanov, Product Manager & Senior Front-End Developer, present Ontotext’s Target Discovery solution.
The solution helps biotech and Pharma companies identify new drug targets and drug repurposing candidates quickly and reliably in a variety of therapeutic areas. You will learn how to unlock relevant information and insights in both structured and unstructured reference data sources, mapped and managed in a central knowledge graph. This makes it easy to extract information about any entity and context of interest in seconds. It’s also easy to apply customizable algorithmic and visual analytics on top of the data model for in-depth insights and critical decision support.