Proficy CSense Demo 2: Prevent Product Quality Defects with Machine Learning | Velotic

See how Velotic’s Proficy CSense helps process engineers use machine learning and industrial data to identify the causes of product quality defects and determine process conditions that can help prevent them. In this Proficy CSense demo, you'll learn how to: · Connect Historian and laboratory quality data · Combine process and quality data for analysis · Use decision tree machine learning to investigate product defects · Identify which process variables contribute most to quality issues · Drill into operating conditions associated with higher defect rates · Determine process parameters that can help minimize defects · Deploy identified rules and analytics with CSense Architect and Runtime Manager · Provide real-time recommendations to operators through OPC, SCADA, and DCS systems Proficy CSense helps manufacturers analyze historical process data to understand why quality problems occur, identify operating conditions associated with better product quality, and turn those insights into real-time recommendations for operators. Whether you're exploring defect reduction, root cause analysis, machine learning for manufacturing, or industrial analytics, this demo shows how Velotic’s Proficy CSense can help process engineers reduce quality defects and improve manufacturing processes. Learn more about Velotic’s Proficy CSense: https://www.velotic.com/products/prof... #ProficyCSense #IndustrialAnalytics #MachineLearning #PredictiveQuality #Manufacturing #IndustrialAI #ProcessOptimization #Velotic