Predictive maintenance has emerged as a powerful strategy for industrial operations. But while collecting and analyzing equipment data is no longer a novelty, doing so reliably in harsh, remote, or high-noise environments still presents serious challenges. That’s where Edge AI—artificial intelligence deployed directly at the edge of the network—proves to be a game-changer. At Delphisonic, we’ve engineered our AI-based predictive maintenance systems

Railway systems have long been the backbone of national transportation infrastructure. However, as these systems age and expand, maintenance has become increasingly complex and costly. Traditional reactive or scheduled maintenance approaches are proving inadequate in preventing unexpected breakdowns, delays, and accidents. This is where predictive maintenance, powered by artificial intelligence (AI) and smart sensors, is transforming the future of rail