In today's complex and ever-changing technological landscape, integration between Information Technology (IT) and Operational Technology (OT) is not just a buzzword; it's a necessity.

Machine learning technology can now predict equipment failures weeks in advance. But how do you decide when and how to perform the repair to maximize productivity and minimize risk? Learn how Aspen Mtell and Aspen Fidelis enable you to quickly evaluate hundreds of possible future scenarios, and understand the financial consequences and risk involved in different operational decisions.

Industrial data from a variety of sources and locations has the potential to help organizations meet energy efficiency goals, avoid raw materials/feedstock shortages, decrease downtime, increase profitability and improve ESG reporting. But the chemical industry, like other asset-intensive industries, generates large amounts of data that never gets collected, contextualized and used to its full potential.

Watch this webinar on Aspen InfoPlus.21® (IP.21) from AspenTech, exploring the potential of contextualizing historical data to transform your business.

Aspen Mtell introduces exciting new features, including Alert Manager, industry-specific asset templates, custom models (BYOM) and intuitive dashboards and KPIs for improved visibility, health insights and recommended actions. This infographic provides a comprehensive overview of the capabilities now available in Aspen Mtell.

Aspen Mtell® combines the power of data and technology to enable reliability and maintenance engineers to monitor the performance of assets, providing real-time visibility into asset health and actionable insights for faster decision-making. Discover why companies like LG Chem, Evolution Mining, OCP Ecuador and others have opted for AspenTech´s prescriptive maintenance solution to improve their operational efficiency and achieve carbon mitigation and sustainability goals.

A recent study conducted by ARC Advisory Group analyzed how leading manufacturing companies are leveraging artificial intelligence (AI) and machine learning tools to improve asset performance. While condition-based maintenance is most prevalent, the study found that leaders have successfully built AI capabilities to enhance asset performance practices through in-house platforms, commercial solutions and a combination of both.

We're excited to present the AspenTech DataWorks Community—a dynamic platform designed to connect, educate and empower industrial professionals like never before.

Aspen InfoPlus.21® (IP.21) is an industrial process historian for collecting and storing large volumes of process data for analysis and reporting. With Aspen IP.21, you can drive performance improvements and optimize decision making through near real-time asset visibility, analysis and monitoring.

Increase production and supply chain resiliency by rapidly managing disruptions with real-time visibility and collaboration.