Industrial AI ML and Analytics: Process Engineers Don’t Have to Be Data Scientists Today, staying competitive means progressing with machine learning and analytics. Fortunately, the journey to success doesn’t require that process engineers need to be data scientists. In this on-demand webinar, you will learn how to align engineering domain expertise to five capabilities: Analysis - automatic root cause identification accelerates continuous improvementMonitoring – early warnings reduce downtime and wastePrediction – proactive actions improve quality, stability, and reliabilitySimulation – what-if simulations accelerate accurate decisions at a lower costOptimization – optimal process setpoints improve throughput at acceptable quality by up to 10% Watch this webinar to learn the proven processes and software technologies that make analytics do-able for every industrial organization. Welcome BackJohn thomasNot You?Download Resource Machine Learning and Analytics: Process Engineers Don’t Have to Be Data ScientistsWe hope you enjoy watching our video. Proficy is the world's leading fully integrated industrial software suite. The Proficy portfolio includes cloud-based and on-prem HMI/SCADA, MES, industrial data management, and analytics.Today, staying competitive means progressing with machine learning and analytics. Fortunately, the journey to success doesn’t require that process engineers need to be data scientists.In this on-demand webinar, you will learn how to align engineering domain expertise to five capabilities:1. Analysis - automatic root cause identification accelerates continuous improvement2. Monitoring – early warnings reduce downtime and waste3. Prediction – proactive actions improve quality, stability, and reliability4. Simulation – what-if simulations accelerate accurate decisions at a lower cost5. Optimization – optimal process setpoints improve throughput at acceptable quality by up to 10%