Learn how AspenTech University can help organizations to navigate challenges and compete at the highest level with our end-to-end competency development curriculum. AspenTech University offers flexible, expert-led classes that teach the in-depth knowledge and skills required to fully apply AspenTech solutions. Learn by solving real-world problems through hands-on exercises.

This on-demand webinar features AspenTech Inmation™ use cases presented by industrial data experts.

Digitalization in industrial facilities is critical to achieving new levels of safety, sustainability, and profitability—and AI is a key enabler for that transformation.

Start your journey to the self-optimizing plant and view this interactive e-book that highlights how your assets can be safer, more reliable, more flexible and more profitable with the help of Industrial AI.

This solution provides real-time, bi-directional connections, data visualization and increased efficiency for BASF's processes and customer value.

This webinar explains how to predict when equipment needs maintenance with a fully automated solution that includes Aspen Mtell® and the AWS Cloud

Explore use cases for managing cloud data, making that data actionable, and applying AI and ML to that data.

This on-demand webinar explains the results in the State of Industrial AI 2021 research report.

Working together with AWS, we have built a solution for diverse historians and data sources that effortlessly collects production data in real-time in the Cloud. Using Aspen Connect™ and Aspen InfoPlus.21® (IP.21) with Amazon S3, you can connect to any asset, sensor or data that's driving your manufacturing operations with a flexible AIoT infrastructure.

As the industrial sector evolves from pure IIoT, which focused mainly on connecting assets, to AIoT where pervasive industrial intelligence is the key business driver. We are experiencing a compounding demand for edge technologies that work in concert with cloud workloads. Leveraging the edge to run AI models will provide uninterrupted real-time actionable response while the Cloud executes less critical tasks such as model training, retraining, and sustainment as well as monitoring. This combination will optimize uptimes while minimizing the risk of unseen issues.