AspenTech is proud to be a Microsoft Gold partner, collaborating and establishing a close working relationship through this widely-recognized program. Our ongoing partnership has proven that these two market leaders are truly are better together, connecting assets, measuring their performance and improving business outcomes.

The lighthouse organizations that have paved the way are showing that continuous manufacturing is viable and scalable, lending to greater throughput and consistency in drug quality and ultimately decreasing time-to-market.

Advanced process control (APC) applications require accurate inputs for stream qualities, including product compositions and distillation curve points. While online analyzers are effective in supporting model predictive controllers, they are expensive and often unavailable for important process streams. There is a more cost-effective approach for building virtual analyzers or inferentials to accurately estimate stream qualities and it starts with digital twins.

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

European refiners face a “dual challenge" – meeting the growing demand for resources and higher standards of living from a growing population while also addressing sustainability goals, reductions in carbon emissions and plastic waste in the environment. View this insightful conversation featuring industry leaders from Eni and MOL Group as they discuss both the challenges and opportunities in the transition to net zero by 2050.

SABIC is a leading multinational manufacturing company, specializing in the manufacture of petrochemicals, chemicals, industrial polymers, fertilizers and metals. Energy efficiency is a key focus area for SABIC. To close the gap towards achieving 2025 goals, SABIC identified the need to quantify energy losses and execute actions to optimize operations while addressing daily plant challenges.

The Green Supply Chain Award recognizes companies that are making sustainability a core part of their supply chain strategy, as well as those working to achieve measurable goals within their operations.

CIO - To make industrial data actionable evolve your data historian with an AIoT strategy

InformationWeek - 3 Ways CDOs Drive Successful Industrial Digital Transformation

Surrogate models (or Reduced-Order Models) allow simulation users to explore and identify optimal process performance conditions faster than full, rigorous simulations. But there are times when users may find they are extrapolating beyond the data used to develop the surrogate model or when there is a desire to confirm the accuracy of the surrogate model. In these cases, the surrogate model can be used to enhance model performance, from both a robustness and performance perspective.