EnterpriseDs
EnterpriseDs is a term used to describe a class of enterprise data science platforms and practices that aim to coordinate data science workflows across large organizations. It encompasses data management, collaborative development, model deployment, and governance, with an emphasis on scalability, reproducibility, and regulatory compliance.
Core components of EnterpriseDs typically include a data catalog and lineage to track data origins and transformations;
Governance and security are central to EnterpriseDs, emphasizing data access controls, privacy-preserving techniques, audit trails, and
Architecturally, EnterpriseDs often employ a modular layered approach, including a data layer for storage and ingestion,
Common use cases span risk scoring, fraud detection, and customer analytics in finance; clinical risk prediction