Real-world uses

Created for this library

1. 1.

   A retail bank's ML steering committee prioritizes use cases each quarter using a value-versus-effort framework.

2. 2.

   A logistics provider builds an ML platform team that owns infrastructure for model training, deployment, and monitoring across business units.

3. 3.

   An enterprise sets up an ML governance board to review high-risk models before they go live in customer-facing decisions.