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SciBite / Knowledge Hub / Resources / LLMs Need Context Shedding Light on Dark Data [Webinar]

LLMs Need Context Shedding Light on Dark Data [Webinar]
Lower Antelope Canyon, Arizona, USA
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Generative AI is not your strategic advantage — the context you give it is.  

Pharma generates terabytes of research data every day, but the majority of it vanishes into a graveyard of spreadsheets, PDFs, and data silos. This “dark data” means that without structured context, LLM solutions miss relationships, fail to predict associations, and overlook insights your scientists already know.   

During this webinar with SciBite’s Professional Services Consultant, Thomas Woodcock, he explores why LLMs and agentic frameworks work in the dark without context, and how Elsevier’s curated data plus SciBite’s structuring capabilities can illuminate what’s hidden.   

The companies that act now to add context will gain the advantage: faster insights, fewer wasted trials, accelerated approvals — and most importantly, better outcomes for patients.  

Presenter(s): 

  • Thomas Woodcock, Professional Services Consultant, SciBite
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Headshot - Tom Woodcock
Thomas Woodcock
Technical Sales Manager, North America, SciBite

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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