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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. However, the effort to build, train, and evaluate this modeling is only a small fraction of what is needed to reap the vast benefits of generative AI technology.

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6 generative AI hazards IT leaders should avoid

CIO

OpenAI’s recent announcement of custom ChatGPT versions make it easier for every organization to use generative AI in more ways, but sometimes it’s better not to. Some of the most vocal complaints about generative AI have come from authors and artists unhappy at having their work used to train large language models (LLMs) without permission.

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CIOs confront generative AI’s workplace X factor

CIO

CIOs must remember that it is their workforce who will be using this AI technology, and consider the impact of AI on their workforce, ensuring proper management, training, and integration to make the most of their investment.” The workforce will embark on Level 2 [training] while more inducted in this organizational transformation.”

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10 most difficult-to-fill IT roles — and how to address the gap

CIO

The biggest challenge is finding talented team members at the market rate,” says Patrick Isaac, CTO at Accuro Solutions, adding that the current environment demands more intensive recruiting efforts. CIOs must up their talent game across the board, including talent management, engagement, training, and retention, in addition to hiring.