AZPN Q2FY24

Industries are becoming aware of the importance of sustainability efforts, with their long-term implications for improving the global climate, human health and quality of life around the world, as well as enhancing their brand reputation.

Aspen Mtell uses data-driven predictive maintenance technology to deliver the earliest, most accurate warning of equipment failures. It empowers organizations to take a proactive approach, minimizing disruptions, ensuring a safer work environment, and delivering a rapid return on investment for diverse industries.

Reactors are critical for any refinery, impacting both quality and yield of products. With the emergence of bio-feed and co-feed processing reactors, new challenges arise as operators are unfamiliar with feed streams, creating operational risks.

Are you still relying on simplified RAM analysis or even “gut feel” to make critical decisions for your operations? What if you could gain a more holistic view with in-depth insights to help quantify overall project value?

During the question-and-answer portion of the webinar "Accelerate Projects with Data-Centric Engineering," attendees had the opportunity to pose their questions to the panel of experts presenting. This FAQ document provides the answers.

ARC reports on how AWS and AspenTech help customers make better, faster business decisions using data-driven information on the cloud.

AspenTech DataWorks and Aspen Mtell® are both recognized by IoT Evolution as leaders in the IoT industry.

Company committed to achieving net-zero operations by 2030

Cost estimation is one of the key aspects of any engineering project, as it provides the basis to decide the feasibility and budget for the project. Yet cost estimation is often enclosed by uncertainty since during early engineering stages there is still very little information available. How can engineering teams find the most profitable designs when the project is still under development?