Save the Date: OPTIMIZE 26 is coming! We're excited to bring this premier event to Houston, Texas, May 11–15, 2026.

As operational demands increase and margins tighten, it’s no longer enough to rely on traditional predictive maintenance practices. To stay competitive, companies must embrace a more integrated, proactive approach to Asset Performance Management (APM)—one that combines AI/ML, safety-first maintenance practices and smarter investment planning to transform asset management.

Discover AspenTech Inmation, a cutting-edge industrial data fabric designed to optimize data-driven operations.

The latest features in Aspen GDOT™ V15 offer a new flexible online optimization approach that caters to a wide range of applications, including broad production envelopes, high-value reactors and small-scale column applications.

More than half of all companies say they lack the skills they need to get the most out of their AI applications. Industrial AI offers a solution for this “expertise gap” by automating data cleaning, monitoring and analytics to enable the efficient scaling of custom-fit solutions.

Join this webinar to learn about our transformative energy management system (EMS) and its capabilities for managing regulated and deregulated transmission assets to ensure secure, reliable and economical operation of the bulk electric power system while accelerating the clean energy transition.

Artificial intelligence is transforming the mining industry—from exploration and remote operations to predictive maintenance.

A leading Canadian mining company modernized its maintenance approach by implementing Aspen Mtell®, replacing a time-based preventive strategy with a prescriptive maintenance solution powered by AI. This resulted in fewer breakdowns, stronger collaboration and smarter operations.

Con condiciones operativas en constante cambio —incluyendo diferentes materias primas—, las plantas de proceso actuales enfrentan el desafío de cumplir con objetivos de crecimiento y sostenibilidad, ya que muchos indicadores clave de desempeño (KPIs) no pueden medirse en tiempo real. Aunque los modelos de simulación de procesos pueden desplegarse en línea para brindar a los operadores visibilidad en tiempo real y optimizar el rendimiento, existe una idea errónea común en la industria de que este enfoque es complicado y difícil de implementar.

Faced with new levels of complexity, disruptions and pressure to meet customer demands, chemical supply chains have been tested as never before in recent years. In addition, there is the growing challenge to achieve net-zero targets while maintaining sustainable, profitable operations.