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LexisNexis unveils new API for accessing generative AI-approved licensed information content material, company knowledge


The info data and analytics firm LexisNexis at this time introduced the launch of Nexis Knowledge+, a brand new API that gives entry to company, authorized, monetary, and compliance knowledge, in addition to generative AI-approved licensed information content material.

Builders and knowledge analysts will be capable to combine that knowledge into their present instruments, platforms, AI fashions, and workflows to allow higher decision-making and evaluation for his or her organizations.

Particularly, LexisNexis claims it could actually energy AI initiatives reminiscent of mannequin coaching, generative AI functions, pure language processing, occasion modeling and prediction, danger modeling, sample discovery, predictive and descriptive analytics, and statistical evaluation.

The portfolio of licensed information content material contains over 23,000 publications, together with The Related Press, McClatchy, Gannett, Enterprise Insider, South China Morning Publish, Benzinga, American Banker, AWP Finanznachrichten, American Metropolis Enterprise Journals, and extra. 

It additionally contains entry to authorized knowledge, reminiscent of dockets, verdicts, settlements, patent filings; compliance knowledge, like sanctions, watchlists, politically-exposed folks; and in depth firm and monetary knowledge.

“The Nexis Knowledge+ API simplifies the mixing of an enormous repository of enterprise knowledge and licensed, AI-ready content material into exterior platforms so organizations can rapidly acquire higher, more-informed insights for vital enterprise decision-making,” stated Dani McCormick, vp of product of Nexis Options at LexisNexis. “Our clients require transparency and confidence within the knowledge and knowledge driving these selections, particularly for AI-powered functions and instruments. Nexis Knowledge+ is designed to be a dependable and reliable supply of information for organizations searching for to implement AI and GenAI initiatives efficiently.”

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