Production-Ready AI Versioning Strategies for Real-World SystemsFrom model and data versioning to reproducibility, rollbacks, and safe experimentation
AI applications need more than Git tags to be production-safe. Learn proven versioning strategies for AI systems, including model lineage, dataset snapshots, prompt evolution, and environment locking to enable reliable deployments and rollbacks.