Experts from AWS and AspenTech discuss how the next generation data historian is evolving from data storage to industrial data management platform as manufacturers now require more data integration, archiving, asset modeling, visualization and analysis capabilities.

Learn how to predict when equipment needs maintenance with a fully automated solution that includes Aspen Mtell®

We asked our very own Industrial Data Scientist – Heiko Claussen, AspenTech’s SVP of Artificial Intelligence – for an inside perspective on the journey of Industrial Data Scientists and what their role can bring to the table for today’s process engineering and manufacturing businesses.

This ARC report explains how the trend of incorporating emerging technologies into historians continues into the future.

The presence of a CDO influences how companies talk about data — companies with a CDO mention data ~30% more frequently than those without a CDO.

AspenTech's Production Optimization for Refining solution simulates production schedules, dynamically optimize multiple units in real-time and more.

Learn how the data historian is evolving from data storage to industrial data management platform and how manufacturers require data integration, archiving, asset modeling, visualization and analysis capabilities.

The Aspen AIoT Hub is the cloud-ready Industrial AI infrastructure that delivers the vision for the Self-Optimizing Plant. It provides the integrated data management, edge, and cloud infrastructure, and a production-grade AI environment to build, deploy and host Industrial AI applications at enterprise speed and scale to unlock the value from industrial data across plants and the enterprise. Read this brochure to learn more.

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

This webinar explains how to integrate data – from sensors to the edge and cloud - with Azure and Aspen Enterprise IP.21.