data governance

Practical, Linux-friendly AI roadmap that takes you from “do AI” to deploy: start with business-value metrics and baselines, scriptable data prep, a small scikit-learn model served via FastAPI, then containerize with Podman, automate retraining (cron/systemd), and add monitoring, security, and governance—all using open tools (Python, jq, DuckDB). Includes patterns, pitfalls to avoid, and a hands-on call to action.

Bash-Powered AI Business Checklists shows a Linux-friendly workflow to de-risk AI launches: scaffold a repo, run an interactive Bash script that logs decisions to JSON, gate CI with jq to block critical failures, and auto-generate Markdown reports; includes distro-agnostic installs, a fintech example, and tips to tailor templates, accelerate releases, and maintain auditable governance.