Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. The explosive adoption of large language models (LLMs) within all types and sizes of ...

Relying on machine learning (ML) and NLP can provide better handling of legacy systems as well as siloed data sources. NLP is the area of AI that focuses on the analysis of both spoken and written ...

The boom in generative AI interest serves as a visible tipping point in the yearslong journey of the enterprise embracing the power of data interaction through natural language processing (NLP). In ...

NLP arose several years ago but it was only in 2018 that AI researchers proved it was possible to train a neural network once on a large amount of data and use it again and again for different tasks.

Until now. New tools exist in the form of medical-grade NLP powered by artificial intelligence (AI) that can unleash the value contained in unstructured data within CCDs. Clinical-grade medical ...

Veradigm ensures that its NLP-enriched EHR data is standardized, de-identified, and designed to maximize research potential. The dataset encompasses over five billion distinct patient notes ...

Reveleer, a cloud-based platform helping payers analyze member and provider data, has landed $65 ... In addition, the platform’s natural language processing (NLP) tools help identify and ...

Natural language processing (NLP), while hardly a new discipline, has catapulted into the public consciousness these past few months thanks in large part to the generative AI hype train that is ...

Artificial intelligence (AI) and natural language processing (NLP) could enable investors to access new data sources in emerging markets, according to a joint paper from the International Finance ...