AI and machine learning have become almost unavoidable in cloud migration conversations, but where do they genuinely add value, and where do they risk becoming a distraction?
In this fourth article in my Waltz-based cloud migration series, I look at how AI and ML can support architecture-led migration planning without replacing the human judgement that makes the model defensible.
The key point: AI does not remove the architecture problem. It reduces the cost of building and maintaining the architecture view.
Used well, AI can help with:
- First-pass readiness assessments
- Dependency extraction
- Anomaly detection
- Natural-language querying
- Migration artefact generation
Used badly, it creates confident-sounding outputs with no evidence trail, no accountability, and no governance value.
The right question is not “what can AI do for cloud migration?”
It is: “what does the migration programme need to do well, and where can AI accelerate that work without weakening the governance behind it?”
Read the full article: Where AI and Machine Learning Fit in Waltz-Based Cloud Migration Planning
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