Any AI in ITOps depends on the quality and diversity of the data it's trained on, crucial for effective recommendations to optimize application experiences.
IT teams must ensure AI models are trained on diverse data reflecting production environments to prevent 'garbage in, garbage out' scenarios and gain trustworthy insights.
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