Data classification involves assigning standard semantic labels to fields and datasets. This is key for a number of use cases including Data Quality, Data Discoverability, Data Governance, and Data Privacy. Unfortunately, the scope of typical data estates makes manual data classification unfeasible. This talk will cover different automated data classification approaches successfully used by specialized start-ups and big tech companies like LinkedIn and Meta.