Unstructured data accounts for 80%-90% of an enterprise’s unique data. Most enterprises retain only 5% of the data they generate due to cost and the rapid expansion of AI workflows, IoT sensors and other machine-generated data. Much of this data is valuable for future training, as well as compliance audits, debugging and understanding AI outputs. Aggregating, normalizing and processing this data form the foundation of enterprise AI implementation. Leaders from Cloudian, Hammerspace, Seagate and Supermicro discuss best practices for managing and retaining this data.