Pharma and biotech companies face a pivotal next step in addressing the increased complexity of production while balancing mounting cost pressures with the need to ensure product quality, security of supply and regulatory compliance.

Feature engineering, state classification and best model selection can be complex, time-consuming tasks for data science teams. While building customized tools is often the first instinct, today’s Asset Performance Management (APM) applications with built-in industry expertise can help data scientists speed up this process to rapidly design and scale new solutions.

Aprenda como puede usar el mantenimiento prescriptivo (RxM) para dar un valor real a su organización. En este webinar el experto de AspenTech va a demostrar como los conocimientos basados en datos de AI y de Machine Learning mitigan los problemas de mantenimiento y mejoran la productividad.

As predictive and prescriptive analytics become better understood across industries, companies are putting new focus on maintenance maturity and the use of digital technologies. They’re realizing that having a robust maintenance program means leveraging APM technology—and their data—to the fullest advantage.

¿Cómo está utilizando la tecnología para gestionar la incertidumbre en el mercado volátil actual? Muchos líderes de la industria están aprovechando sus datos y recursos existentes junto con la tecnología de Asset Performance Management (APM) para mejorar significativamente la seguridad, reducir las emisiones ambientales, disminuir los costos de mantenimiento y mejorar la producción.

See the 3 keys to getting the most value out of your digital technology investment—and some real world examples.

La mina inteligente proporciona información significativa sobre las operaciones cotidianas para respaldar la toma de decisiones proactiva. Las soluciones de mantenimiento predictivo diseñadas específicamente para las organizaciones mineras proporcionan la base para la transformación empresarial y el conocimiento para mejorar la utilización, el rendimiento, la confiabilidad y la seguridad del equipo.

Refining and petrochemicals producers face increased pressure to maximize margins while improving safety and sustainability. In this on-demand webinar, learn how Pan American Energy implemented a predictive maintenance solution powered by artificial intelligence to predict critical equipment failures – giving time back to production and reducing operational risk.

​It’s time to stop equipment breakdowns: but where and how should you start?

In a recent interview with Singapore Business Review - Sanjeev Mullick, VP, Regional Sales APAC at AspenTech - shares how Aspen Mtell enables enterprises to adapt in the current volatile environment and move ahead in their Industry 4.0 journey, future plans, and thoughts on winning the SBR Technology Excellence Award for the AI - Manufacturing category.