Remove ChatGPT Remove Generative AI Remove Healthcare
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10 most in-demand generative AI skills

CIO

If any technology has captured the collective imagination in 2023, it’s generative AI — and businesses are beginning to ramp up hiring for what in some cases are very nascent gen AI skills, turning at times to contract workers to fill gaps, pursue pilots, and round out in-house AI project teams.

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Hippocratic is building a large language model for healthcare

TechCrunch

AI, specifically generative AI, has the potential to transform healthcare. At least, that sales pitch from Hippocratic AI , which emerged from stealth today with a whopping $50 million in seed financing behind it and a valuation in the “triple digit millions.” the elusive “human touch”). .

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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.

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Embracing Generative AI in health: focus on adoption, execution, outcomes and the human side

CIO

Healthcare systems around the world are under extreme pressure as a result of staffing shortages, low retention rates and clinician burnout. Given these pressures, it is understandable that healthcare professionals are now turning to generative AI for help. In the U.S.,

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Going ‘AI native’ with in-house ChatGPT the MITRE way

CIO

Its researchers have long been working with IBM’s Watson AI technology, and so it would come as little surprise that — when OpenAI released ChatGPT based on GPT 3.5 MITREChatGPT, a secure, internally developed version of Microsoft’s OpenAI GPT 4, stands out as the organization’s first major generative AI tool.

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How to build a safe path to AI in Healthcare

CIO

Healthcare adheres to an elevated standard. This is evident in the rigorous training required for providers, the stringent safety protocols for life sciences professionals, and the stringent data and privacy requirements for healthcare analytics software. Therefore, every innovation must be approached with utmost caution.

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Generative AI is pushing unstructured data to center stage

CIO

Advances in AI, particularly generative AI, have made deriving value from unstructured data easier. Yet IDC says that “master data and transactional data remain the highest percentages of data types processed for AI/ML solutions across geographies.” What’s different now? What’s hiding in your unstructured data?