Digitalization in industrial facilities is critical to achieving new levels of safety, sustainability, and profitability—and AI is a key enabler for that transformation. Read this MIT Technology Review article to learn about three pivotal needs driving capital-intensive industries to digitize and implement purpose-built AI systems:

To be a leading 'player' today's specialty chemicals environment, overcoming these challenges is crucial to staying competitive and ensuring the entire supply chain is optimized.

Mining Magazine caught up with Jeannette McGill, Vice President and General Manager, Metals & Mining, Aspen Technology, to discuss the growth of asset performance management in mining and the results of Evolution Mining’s deployment of AspenTech’s prescriptive maintenance solution.

Advances in the application of artificial intelligence (AI) are starting to have a significant impact on automation technologies used across industry—most notably with machine vision and analytics. And some of the more impactful applications of AI are happening in the pharmaceutical industries. Learn more in this article from Automation World.

Industrial organizations are sitting on a decades-old, massive double-edged sword: their data. Until now.

Are you exploring all avenues to enhance operational productivity, efficiency and safety at your plant? Download this article to learn how Statoil introduced one standard solution for storing and presenting process data to achieve cost savings and simplification.

As energy companies shift to a new normal due to the pandemic, the energy transition continues to gain strong momentum. Industry leaders are focused on meeting aggressive sustainability targets and are making investments in digitalization to accelerate innovation.

See how refineries can keep their profit margins high by maintaining their planning models up to date, in the face of changing operating conditions, using capabilities built in Aspen HYSYS.

See how you can use Aspen Technology solutions to develop a refinery wide process model that would enable refinery process engineers to evaluate the economic impact of operational changes and help planners achieve a more accurate assessment of profit margins.

The era of the intelligent mine is here and the maintenance department of the future will use insight to improve its decision-making ability based on data.