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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. Consider the iceberg analogy.

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Thinking of building your own AI agents? Don’t do it, advisors say

CIO

Companies that fail to build their own AI agents will turn to outside AI consulting firms to build custom agents for them, or they will use agents embedded in software from their current vendors, write Forrester analysts Jayesh Chaurasia and Sudha Maheshwari. Kumar adds. Start with one [AI model], and you can start tailoring its behavior.

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

CIO

CIO.com’s 2023 State of the CIO survey recently zeroed in on the technology roles that IT leaders find the most difficult to fill, with cybersecurity, data science and analytics, and AI topping the list. As a result, many enterprise IT leaders find themselves in bidding wars they’re unable to win. “The

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CIOs confront generative AI’s workplace X factor

CIO

Our examiners are welcoming the help from AI tools to take away the clerical and administrative functions so they can focus more on thoughtful analytics that cannot be merely programmed.” Chief among those foundations — at least for now — is the company’s workforce. Gen AI is not a magic bullet,” she said at the summit.