How do multinational manufacturing firms balance the need for AI-driven predictive maintenance with data privacy laws in regions like the EU (GDPR)...

Detailed Query: Predictive maintenance uses IoT sensor data from machines to prevent breakdowns, but this data often includes sensitive information (e.g., production schedules). GDPR requires explicit consent for data processing, while China mandates data localization. Firms with factories in both regions face conflicting rules: storing data locally in China may violate EU cross-border data transfer rules. How are they complying? Do they use edge computing to process data locally, or build region-specific AI models? I need details on compliance architectures, costs of regional customization, and how this impacts maintenance efficiency.