data quality management

Practical, Linux-first playbook to turn AI pilots into enterprise-grade systems: install a minimal Bash-friendly toolchain (apt/dnf/zypper), standardize with venv + pinned deps + Podman, version data/models via Git+DVC+S3 for lineage, build in security (GPG-encrypted secrets, hashes, rootless containers), add observability/cost control with simple logs/benchmarks, and automate quality with pre-commit and CI.