As organizations continue to modernize IT operations and accelerate cloud adoption, file-based workflows remain mission-critical and increasingly complex. Data needs to move securely across on-premises systems, cloud platforms and business applications, all while maintaining governance, reliability and control.
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Human-in-the-loop (HITL) frameworks play a critical role in strengthening the reliability, accuracy and accountability of generative AI systems. This article outlines the practical benefits of HITL design, including improved validation, bias mitigation and contextual decision-making in real-world deployments.