Prescriptive Remediation

Prescriptive remediation focuses on proactively addressing problems or improving outcomes by generating actionable recommendations, rather than simply predicting future events. Current research emphasizes developing frameworks and methodologies for optimizing AI adoption in various sectors (e.g., SMEs, healthcare), improving data annotation processes, and mitigating issues like AI hallucinations in large language and vision-language models. This work is significant because it moves beyond descriptive analytics to create practical, targeted interventions, leading to more efficient and effective systems across diverse applications.