AspenTech has invented a method for integrating first principles-based process simulation models and domain expertise with AI and analytics algorithms. The result is a hybrid modeling system that delivers a comprehensive, accurate model more quickly without requiring significant expertise.

Industrial organizations require historical and real-time data for AI and analytics on the cloud to keep the business running efficiently.

Sustainability remains top-of-mind for most executives as they work to balance environmental concerns with business performance. Digital solutions have emerged as a key enabler to help companies make progress toward their sustainability goals.

“Automation also can help identify issues before something critical fails. Finding problems as early as possible helps improve asset management,” says CSX Executive Vice President and Chief Operating Officer, Cindy Sanborn. Read this article to learn more about CSX’s exciting project with Mtell, which uses patented machine learning technologies with industrial assets to perform predictive maintenance which no longer runs parts to failure.

Entre na era da autonomia e dê os primeiros passos para a Planta Auto-Otimizada- uma operação de aprendizagem, Auto-ajustável e Auto-sustentável impulsionada pela Industrial AI que o ajudará a prosperar em qualquer condição de mercado. Assista a este vídeo para saber como você pode começar a realizar essa visão hoje.

Industrial organizations are sitting on a decades-old, massive double-edged sword: their data. Until now.

Aspen Batch APC™ (Advanced Process Control) is a closed-loop, model-predictive batch control system that improves product quality and yield, and lowers cycle times. It features a built-in optimization engine that predicts end-of-batch quality attributes at key decision points along the batch process. Aspen Batch APC enables manufacturers to improve process stability and product consistency for higher margins with a solution specifically designed for batch processes.

TechnologyReview-The future starts with Industrial AI

Early returns from an ARC Advisory Group survey indicate 45% of respondents require 6 months or more to scale APM solutions across similar sites, while 54% can scale APM across different assets at the same site—but only with tremendous effort and resources. Today’s asset performance management (APM) solutions drive big increases in reliability and profitability, but how well can you scale those benefits across multiple assets, or even multiple sites? Join us to learn how some of today’s industry leaders are using AI and machine learning—combined with their existing data and resources—to overcome skillset or usability hurdles and rapidly scale APM solutions across their organizations.

A medida que las empresas de energía, química y EPC continúan ajustándose a una nueva normalidad, el enfoque en cumplir los objetivos de sustentabilidad es una prioridad principal para los líderes de la industria. La digitalización y la IA son fundamentales para ayudar a las empresas a avanzar en sus esfuerzos de sustentabilidad. Mire este video y descubra cómo la IA industrial combina machine learning con un conocimiento profundo de la industria para ayudarlo a tomar decisiones más rápidas e inteligentes que reducen las emisiones y los desechos, acercándolo a cero emisiones netas de carbono.