Perspective: Practical Data Retention Policies for ML Observability
Abstract
We outline tiered retention and sampling strategies that balance observability needs with privacy and cost constraints in ML platforms.
Cite this article
Guti�rrez, L., Saxena, A., & Sch�fer, P. (2025). Perspective: Practical Data Retention Policies for ML Observability. Research Explorations in Global Knowledge & Technology (REGKT), 3 (8). Retrieved from https://regkt.com/article.php?id=164&slug=perspective-practical-data-retention-policies-ml-observability