AI in Air compressors The blend of industrial equipment and artificial intelligence is nothing new. But when it comes to air compressors, it’s a rather novel concept and one that could help industrial workflows improve productivity and profitability. Machine learning technology is being experimented with to help create a new line of intuitive air compressors. These machines can learn from historical data and use it to make decisions with little to no human intervention. AI influencing air compressor machines. ~Fault prediction: Intelligent AI systems can predict the chance of a failure thus preventing outages. ~Load forecast: AI-driven air compressor management systems can manage output to meet expected demand. ~Efficiency degradation: Machine learning algorithms have helped to pick up the early signs of compressor efficiency degradation to optimize servicing. There’s a lot of potential to also put AI to work to improve various other aspects of air compressor management. hashtag#ELGi Air Alert. The ELGi Air Alert system generates and disseminates critical alerts and reports, allowing users to address any issues promptly and efficiently. These alerts and reports are translated into comprehensible formatted data for ease of understanding for the users. Air-Alert eliminates downtime by expediting after-sales services through real-time transmission of compressor performance data. The data collected through Air-Alert aids in product development, providing insights for designing better machines in the future.