Compares the traditional method of tuning a controller to Smart Tune which allows users to directly specify operational objectives. Breaks down how the new algorithm works through animations and summarizes the benefits: reduce efforts and complexity, quickly adapt controller to changing economic conditions, process changes or model updates, easily simulate, troubleshoot and modify controller strategy online and increase operator acceptance and controller uptime.   

Data analysis can get bogged down in identifying, selecting, and preparing data. These tasks consume 50% or more of the time spent doing analysis. Now, with Maestro for Aspen Mtell®, you can automate much of that data preparation. Through automated workflows, time and effort is minimized while reducing the skills and experience required by the end users. Maestro also tackles the selection of the hyperparameters that control the machine learning algorithm and automates feature selection to further reduce the need for data science skills. Watch this video to learn how this powerful AI technology can help you build better Agents in a fraction of the time.

Watch this video for an in-depth view of how Aspen Collaborative Demand Manager for Chemicals can improve your forecasting and demand management process.

En este vídeo, descubra cómo el mantenimiento predictivo de Aspen Mtell permite a LUKOIL tomar decisiones más rápido y aumentar la confiabilidad en toda la empresa.

In this interview with ARC Advisory Group analyst Peter Reynolds, AspenTech President and CEO Antonio Pietri describes how the process industries are leveraging new technologies—including cloud computing, data analytics, and machine learning—to drive greater value from their assets.

Learn about AspenTech's 3 keys to a successful customer relationship: trust, effective communication and customer focus. We're shaping the strategies for our solutions around the value we deliver and the problems that we help our customers solve.

This compelling interview with Technip and two other customers, provides a strong testimonial about has Aspen Economics improves work processes and business results, from process engineering to conceptual estimating to detailed estimating.

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Over the past 40 years, maintenance best practices have greatly improved, but equipment continues to break down. So how can asset reliability be improved? With Aspen Mtell prescriptive maintenance software, you can predict breakdowns weeks in advance and take action to protect your machines, business investments, the environment, and most importantly, people.

Use the equation oriented (EO) solver in Aspen HYSYS to simulate your refinery’s CDU operations. EO solves process simulations of units with complicated nested recycle loops and heat integration in less time.