How to Democratize AI/ML and Data Science with AI-generated Synthetic Data - KDnuggets

More and more people across organizations are expected to work with data and to do so safely without breaking or leaking anything. Synthetic data generation is a solution that allows citizen data scientists and auto ML users to quickly and safely create and use business-critical data assets. Letting go of production data is a hard sell for data scientists and engineers privileged enough to have unrestricted access to their companies' most valuable data assets. Old habits are hard to change, but that doesn't mean they shouldn't. More and more companies are creating synthetic data repositories, where curated synthetic data assets replace privacy-sensitive, messy, and biased production data access. Benefits go beyond democratizing data access, and even those with privileged data access build synthetic data generators into their workflows.