Energizing Smart Manufacturing with AI Data Analytic
Energizing Smart Manufacturing with AI Data analytic
A live session in April presented by AIoTmission AIoT Team began with a discussion on how to energize smart Manufacturing with AI Data Analytics. Data analytics plays a crucial role in smart manufacturing for several reasons:Optimizing Processes: Data analytics allows manufacturers to collect, process, and analyze large amounts of data from various sources within the manufacturing process. This enables them to identify inefficiencies, bottlenecks, and areas for improvement, leading to optimized processes and increased productivity.Predictive Maintenance: By analyzing data from sensors embedded in machinery and equipment, manufacturers can predict when maintenance is needed before a breakdown occurs. This proactive approach reduces downtime, lowers maintenance costs, and extends the lifespan of machinery.Quality Control: Analyzing data from production processes can help identify defects or anomalies in real-time, allowing manufacturers to take corrective action immediately. This ensures that products meet quality standards and reduces the likelihood of defects reaching customers.Supply Chain Optimization: Data analytics can provide insights...