Balancing those interests is a matter of strict compliance, not wishful thinking. You must limit data collection to what is strictly necessary for the predictive function, anonymize it where possible, and obtain explicit, informed consent before any personal data is processed. Make sure the system logs and retention policies are transparent and audit‑ready. In short, efficiency should never eclipse the law; data protection and operational benefit must coexist under clear, enforceable rules.

That’s a sound approach. Keep the core logs to the bare minimum—temperatures, failure alerts, and uptime metrics—and isolate any ancillary data like user profiles or location details in a stricter sandbox. Make sure the sandbox has tighter access controls and regular audits, so even if a leak occurs, the impact stays contained. Consistency and clear documentation will make the difference between compliance and liability.