As AI adoption continues to scale, many organizations are realizing that traditional software operations and machine learning operations behave very differently in production.

Unlike conventional software systems, AI models continuously evolve with changing data, require retraining, ongoing monitoring, validation, and long-term optimization to remain reliable over time.

Curious to hear how others working in AI, data, or engineering environments view this shift.