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Generative AI will profoundly change healthcare operations

CIO

Fast-paced advancements in generative AI will change the core operations of every healthcare organization. AI-driven technology is not just a side project anymore. AI solutions including Generative AI are finally advanced enough to deploy at scale and provide a frictionless customer experience.

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Google unveils MedLM, a family of healthcare-focused generative AI models

TechCrunch

Google thinks that there’s an opportunity to offload more healthcare tasks to generative AI models — or at least, an opportunity to recruit those models to aid healthcare workers in completing their tasks. Today, the company announced MedLM, a family of models fine-tuned for the medical industries. …

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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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Using Generative AI to Drive Corporate Impact

TechEmpower CTO

Generative AI is revolutionizing how corporations operate by enhancing efficiency and innovation across various functions. Focusing on generative AI applications in a select few corporate functions can contribute to a significant portion of the technology's overall impact.

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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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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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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?