AI Data Lifecycle

Artificial intelligence projects rely on data at every stage, making AI Data Lifecycle management a critical component of enterprise governance. From collecting raw data and preparing training datasets to deploying AI models and retiring outdated systems, each phase introduces unique data retention, compliance, and security challenges. Organizations that establish lifecycle-aware retention policies can reduce regulatory […]