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Healthcare organizations must create a strong data foundation to fully benefit from generative AI

CIO

Since the introduction of ChatGPT, the healthcare industry has been fascinated by the potential of AI models to generate new content. While the average person might be awed by how AI can create new images or re-imagine voices, healthcare is focused on how large language models can be used in their organizations. Library of Congress.

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Harnessing Healthcare-Specific LLMs for Clinical Entity Extraction

John Snow Labs

Healthcare-specific language models, like the JSL-MedS-NER family, are designed to extract clinical entities from unstructured medical text. Leveraging healthcare-specific large language models (LLMs) allows organizations to process vast amounts of medical data efficiently and with high accuracy.

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Beyond the hype: 4 use cases that show what’s actually working with gen AI

CIO

Weve also seen some significant benefits in leveraging it for productivity in data engineering processes, such as generating data pipelines in a more efficient way. For example, companies can use data from their CRM systems to get data to create personalized communications.

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Big Data in Healthcare: Sources and Real-World Applications

Altexsoft

But what happens to all the massive amounts of data from all these wearables and other medical and non-medical devices? How can it be used in healthcare besides informing individual users of their activity level? What is Big Data and its sources in healthcare? So, what is Big Data, and what actually makes it Big?

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Expanding the digital means to better health at ProCare

CIO

My team is a mix of different skillsets from data engineers, analysts, project managers, developers, and third parties,” she says. “So Services are always in flux, however, especially in healthcare. We’re dealing with many established systems across healthcare, and trying to embrace new technology,” she adds. “So

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3 promises every CIO should keep in 2025

CIO

AI models will be developed differently for different industries, and different data will be used to train for the healthcare industry than for logistics, for example. Each company has its own way of doing business and its own data sets. And within a company, marketing will use different data than customer service.

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Big Data Engineer: Role, Responsibilities, and Job Description

Altexsoft

Prominent enterprises in numerous sectors including sales, marketing, research, and healthcare are actively collecting big data. That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills.