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      "text": "Tracking the ROI of deployed models and applications (86% high-outcome vs. 71% low-outcome)\nHaving a documented process for governance and quality of data put into AI models (77% high-outcome vs. 62% low-outcome)\nFollowing documented MLOps procedures (76% high-outcome vs. 63% low-outcome)\nFollowing a documented AI model life cycle publication strategy (84% high-outcome vs. 66% low-outcome)\nLeveraging a common and consistent platform for AI model and application development (81% high-outcome vs. 66% low-outcome)\nUsing an AI quality and risk management process and framework to assess AI model bias and other risks before models go into production (78% high-outcome vs. 63% low-outcome)",
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