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
Improve engagement, discoverability and personalized recommendations for Financial and Business Media, Market Intelligence and Investment Information Agencies,Science, Technology and Medicine Publishers, etc.
Connect and improve the insights from your customer, product, delivery, and location data. Gain a deeper understanding of the relationships between products and your consumers’ intent.
Welcome to the 2022 edition of the Knowledge Graph Forum. This year’s format is a 4-day hybrid event with a strong focus on industry applications presented by leading practitioners:
Sep 28: Life Sciences & Healthcare (live in Basel and virtually)
Sep 29: Financial Services & Publishing (live in NYC and virtually)
The Knowledge Graph Forum At a Glance
Ontotext’s Knowledge Graph Forum is an annual event that addresses the entire spectrum of business applications of knowledge graphs and the technology partner ecosystem needed to deliver those. The forum brings together clients, partners, and independent semantic technology experts to share their experience with knowledge graph development and application.
With presentations, live panel discussions, and networking opportunities, the Knowledge Graph Forum aims to give you perspectives, knowledge and ideas about how to approach your enterprise data challenges with graph technology.
You will hear from world-leading experts about:
Knowledge graph capabilities, vision, value, and differentiation
Vertical use cases for enterprise knowledge graphs across Financial Services & Publishing; Life Sciences & Healthcare; Manufacturing, Energy & Infrastructure