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      "text": "This lack of progress is significant because in both editions operational leading practices were among the behaviors most highly associated with outcomes.",
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      "text": "As AI has become foundational to success, a large number of organizations are redesigning their business operations around it—a key step to ensure adoption as well as quality and ethical use. Despite this, most organizations have a ways to go to achieve maturity in this area, and there hasn't been a lot of significant improvement reported since the last edition of the survey. Despite evidence that establishing clear processes and redefining roles to deliver quality AI result in improved outcomes, there has been little growth in the market in terms of adopting such practices, according to survey respondents in either of the last two State of AI surveys. In both the fourth and fifth editions, just one-third of respondents reported that their companies are always following MLOps, redesigning workflows and documenting AI model life cycles. This lack of progress is significant because in both editions operational leading practices were among the behaviors most highly associated with outcomes. In other words, putting the effort into working differently and consistently assessing and addressing AI models on an ongoing basis are among the most important areas of focus for an organization seeking improved results.",
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