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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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Remember when developers reigned supreme? The market for software coding goes soft

CIO

Job titles like data engineer, machine learning engineer, and AI product manager have supplanted traditional software developers near the top of the heap as companies rush to adopt AI and cybersecurity professionals remain in high demand.

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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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What does an AI consultant actually do?

CIO

Whether healthcare, retail or financial services each industry presents its own challenges that require specific expertise and customized AI solutions. In this context, collaboration between data engineers, software developers and technical experts is particularly important. Implementation and integration.

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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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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.