The Hidden Costs of Poor Annotation—and How Enterprises Can Avoid Them
As artificial intelligence moves from experimentation to enterprise-wide deployment, organizations are investing heavily in advanced models, infrastructure, and talent. Yet many AI initiatives stall or fail for a far less visible reason: poor data annotation. While annotation is often treated as a back-office task, its quality directly shapes model performance, reliability, and business outcomes. When … Read more
