Industrial and electrical equipment is often deployed globally at customer sites, and uptime is critical to operations. While OEMs are turning to predictive maintenance, they commonly face four hurdles: fragmented data acquisition (mixed protocols and formats, limited collectors), poor data quality (noise, invalid records, inconsistent units), complex and costly connectivity (especially wired networks), and data security and privacy risks.