Explore SciBite’s full suite of solutions to unlock the potential of your data.
Discover how SciBite’s powerful solutions are supporting scientists and researchers.
Gartner® How to Build Knowledge Graphs That Enable AI-Driven Enterprise Applications
Explore expert insights, articles, and thought leadership on scientific data challenges.
Discover our whitepapers, spec sheets, and webinars for in-depth product knowledge.
Explore SciBite’s full suite of solutions to unlock the potential of your data.
Explore SciBite’s full suite of solutions to unlock the potential of your data.
Discover how SciBite’s powerful solutions are supporting scientists and researchers.
Gartner® How to Build Knowledge Graphs That Enable AI-Driven Enterprise Applications
Explore expert insights, articles, and thought leadership on scientific data challenges.
Discover our whitepapers, spec sheets, and webinars for in-depth product knowledge.
Explore SciBite’s full suite of solutions to unlock the potential of your data.
SciBite / Knowledge Hub / Resources / Unlocking value in pharma with knowledge graphs and the semantic layer [Webinar]
Pharma organizations are swimming in data—but turning that data into actionable insight remains a challenge. This webinar explores how knowledge graphs (KGs), ontologies, and semantic enrichment create a semantic layer that connects and contextualizes pharma data to drive better decisions and more effective innovation.
Hear from our Technical Sales Consultant, Thomas Woodcock, as he presents on the value of knowledge graphs for boosting GenAI and share real-world examples.
Tom has over 20 years of experience in biological and pharmaceutical sciences, spanning multiple continents and roles in research, consulting, and education. He is responsible for all SciBite’s technical engagements across the US business, including partners, prospects, and existing customers. By focusing on data as a valuable asset, Tom leverages both his specialist scientific domain expertise and passion for data science to help others solve data challenges and inform decision making through
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