Q: Does transitioning to an AI-centric infrastructure mean we must replace our entire ERP system?

Question

Accepted Answer

A: Not necessarily. You can adopt a hybrid, composable architecture. Your ERP can remain the "System of Record" while securely piping data via APIs into a modern Data Lakehouse where AI models perform heavy analytical processing. Q: How long does it take for a mid-sized Thai enterprise to implement basic MLOps pipelines? A: Typically, foundational implementation takes 3 to 6 months. It is highly recommended to start with a narrowly defined, high-value use case (such as inventory demand forecasting) to establish the pipeline before scaling enterprise-wide. Q: What is the biggest bottleneck when executing AI integration strategies? A: Data governance and data silos remain the largest hurdles. AI models require high-quality, continuous data streams. If legacy IT systems trap data in fragmented silos, the AI will fail. Establishing rigorous data governance is a prerequisite.

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