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

An industry expert’s predictions on what the next year holds for chemical companies.

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.

We discussed Industrial AI at the recent OPTIMIZE 2021 conference and people have asked: what does it mean, what’s the definition? This blog addresses those questions, and more!

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

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.

Engenharia de recursos, classificação de estados e seleção do melhor modelo podem ser tarefas complexas e demoradas para as equipes de ciência de dados. Embora a construção de ferramentas personalizadas seja muitas vezes o primeiro instinto, as aplicações de hoje de Asset Performance Management (APM) embutidas com expertise industrial podem ajudar os cientistas de dados a acelerar o processo de projetar e dimensionar novas soluções mais rapidamente.