In this short video featuring Antonio Pietri, CEO Aspen Technology, explains how the last 40 years have been foundational to the success of industrial AI. In order to accelerate your digital transformation, assets need to run safer, greener, longer and faster.

Our SCM team has curated highlights and insights from OPTIMIZE 2021 available on-demand.

In this episode of the ESG Decoded Podcast, Paige Morse, Industry Marketing Director at AspenTech, chats with Amanda Hsieh on the connective tissue between Artificial Intelligence (AI) and sustainability. AI is a key driver in the achievement of ESG goals as it supports the software capability that can help improve operations and make processes safer for people and the environment. Paige also explains the concept of Industrial AI. ESG Decoded Podcast is powered by Global Affairs Associates.

Pharma and biotech companies face a pivotal next step in addressing the increased complexity of production while balancing mounting cost pressures with the need to ensure product quality, security of supply and regulatory compliance. Findings from AspenTech® and Longitude’s recent market survey revealed that digital culture and technology adoption provide a competitive edge – but adoption is slow.

In part two, we discuss FMEA as a strategy component for optimizing asset performance and availability.

Prescriptive maintenance technology is transforming how companies increase asset availability. With more advance warning of equipment failures comes more opportunity to mitigate the negative impact of those events.

Our APM team curates highlights and insights from OPTIMIZE 2021 available on-demand.

FP Corporation (FPCO) is Japan’s largest manufacturer of food containers and a logistics service provider delivering a range of products to stores engaged in food distribution. They needed to provide stable and responsive food distribution in an efficient and environmentally friendly way.

La ingeniería de datos (ingeniería de características), clasificación de estados y selección de modelos pueden ser tareas complejas y consumen gran parte del tiempo de los equipos de ciencia de datos. Si bien la creación de herramientas particulares suele ser el primer instinto, hay que tomar en cuenta que las aplicaciones actuales de Gestión del Desempeño de Activos (APM) que cuentan con experiencia industrial, pueden ayudar a los científicos de datos a acelerar estos procesos para diseñar y escalar nuevas soluciones rápidamente.

Feature engineering, state classification and best model selection can be complex, time-consuming tasks for data science teams. While building customized tools is often the first instinct, today’s Asset Performance Management (APM) applications with built-in industry expertise can help data scientists speed up this process to rapidly design and scale new solutions.