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King County enlists AI to reduce drug overdose deaths

CIO Business Intelligence

In many cases, additional documents are involved in the process, such as toxicology reports. A group of human abstractors would then read the multipage documents, pull out the relevant information and re-enter it into forms used by the state and the US Centers for Disease Control and Prevention.

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10 most in-demand generative AI skills

CIO Business Intelligence

Relevant job roles include machine learning engineer, deep learning engineer, AI research scientist, NLP engineer, data scientists and analysts, AI product manager, AI consultant, AI systems architect, AI ethics and compliance analyst, among others.

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11 most in-demand gen AI jobs companies are hiring for

CIO Business Intelligence

Algorithm engineer Algorithm engineers, sometimes referred to as algorithm developers, are tasked with building, creating, and implementing algorithms for software and computer systems to achieve specific tasks and business needs. Deep learning is a subset of AI , and vital to the development of gen AI tools and resources in the enterprise.

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NLP helps Eli Lilly work at a global scale

CIO Business Intelligence

To address these challenges, the pharmaceutical firm developed Lilly Translate, a home-grown IT solution that uses natural language processing (NLP) and deep learning to generate content translation via a validated API layer, Coleman says. It can be accessed via mobile devices, web browsers, and programmatically through the secure API.

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Implications of generative AI for enterprise security

CIO Business Intelligence

A technology inflection point Generative AI operates on neural networks powered by deep learning systems, just like the brain works. These systems are like the processes of human learning. Identify, classify, and document compliance for PHI, PII, and other critical data.

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Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

As it pertains to social media data, text mining algorithms (and by extension, text analysis) allow businesses to extract, analyze and interpret linguistic data from comments, posts, customer reviews and other text on social media platforms and leverage those data sources to improve products, services and processes. How does text mining work?

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What is NLP? Natural language processing explained

CIO Business Intelligence

Lilly Translate uses NLP and deep learning language models trained with life sciences and Lilly content to provide real-time translation of Word, Excel, PowerPoint, and text for users and systems. NLTK is offered under the Apache 2.0 It was primarily developed at the University of Massachusetts Amherst.