As the industrial sector evolves from pure IIoT, which focused mainly on connecting assets, to AIoT where pervasive industrial intelligence is the key business driver. We are experiencing a compounding demand for edge technologies that work in concert with cloud workloads. Leveraging the edge to run AI models will provide uninterrupted real-time actionable response while the Cloud executes less critical tasks such as model training, retraining, and sustainment as well as monitoring. This combination will optimize uptimes while minimizing the risk of unseen issues.

Evolution Mining Deploys Aspen Technology Software to Mitigate Unplanned Downtime and Improve Plant

Aspen Technology Announces Financial Results for the Fourth Quarter and Fiscal 2021

Los primeros resultados de una encuesta de ARC Advisory Group indican que el 45% de los encuestados requieren 6 meses o más para escalar soluciones APM en sitios similares, mientras que el 54% puede escalar APM en diferentes activos en el mismo sitio, pero solo con un gran esfuerzo y recursos. Las soluciones de Gestión de Desempeño de Activos (APM) actuales generan grandes aumentos en la confiabilidad y la rentabilidad, pero ¿qué tan bien se pueden escalar esos beneficios en múltiples activos, o incluso en múltiples sitios? Vea ahora este webinar on-demand para conocer cómo algunos de los líderes actuales de la industria utilizan la inteligencia artificial y Machine Learning, combinados con sus datos y recursos existentes, para superar los obstáculos de habilidades o usabilidad y escalar rápidamente las soluciones de APM en sus organizaciones.

Aspen Technology Announces Jill D Smith as Newly Elected Board Chair

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.

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.

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.