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Gartner® How to calculate business value and cost for generative AI use cases
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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 calculate business value and cost for generative AI use cases
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 / Semantic enrichment and the information manager [Whitepaper]
It is more resource intensive to bring a drug to market than ever before: Pharmaceutical companies spend an average of at least 10 years and $2.6 billion on each successful outcome, yet fewer than 1% of potential drugs are ever made available for sale. At the same time, the growth in volume of published research is accelerating: More scientific research published between 2010 and 2014 was indexed in MEDLINE than all research published before 1970.
Drug development professionals know well the daily struggle of staying current with a multiplying volume of multitudinous types of information: peer-reviewed scientific research, patent flings, clinical trials data, news and competitive briefs, conference abstracts and posters, and more.
This paper explores these challenges, and how semantic enrichment can provide a foundation to open new opportunities to quickly extract insights from information.
To find out more, download the full whitepaper.
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