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.
Semantic technologies have been existing for 20 years but semantic projects struggled to be successful.
Perfect Memory uses semantic technologies to turn data into information and make it available to every user in the organization. They have crafted on-a-self semantics products like DAM-as-a-Brain, Insight Engine, CSR monitoring… and Graph-as-a-Service technology that helps partners and software editors to provide a Knowledge Representation layer to their product.
In this talk, Steny Solitude, Founder & CEO at Perfect Memory, shows you some concrete examples of the use of semantic technologies in different markets.