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Sustainability: A Core Initiative for Collaboration in the Chemical Industry

Legislation and pressure from stakeholders are forcing the chemical industry to find efficiencies and seek ways to reduce environmental impact, such as implementing low-carbon initiatives, maximizing energy and water efficiency and developing new innovative products and processes.

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Six Digital Imperatives Making Carbon Capture (CCS) Viable Long-Term

These six areas of digital technology, among others, are being used by leaders in the development of carbon capture projects.

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Resilience in VUCA Times

This blog tells the pandemic story of three companies collaborating on manufacturing hand sanitizer – a packaging paper exporter, an innovation institute and a cosmetics company.

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Helping Customers Realize Maximum Business Value from Industrial Data

We are excited to announce the acquisition of inmation, a market leader in real-time industrial data management.

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Preparing for the Sustainability Future for Chemicals and Energy

Some insightful takeaways from the recent ARC Strategies report indicating global industry leaders are focused on achieving sustainability targets via digital transformation.

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Preparing for Paris

Digitalization is essential to supporting corporate sustainability goals given the renewed global focus on energy consumption, carbon reduction and efficiency.

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Polymers Producers Must Continue to Improve Sustainability and Responsibility

With current supply chain disruptions and fluctuating demand, digitalization offers polymers manufacturers new ways to drive improvements in sustainability.

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Picking the Brain of an Industrial AI Data Architect About AIoT

At AspenTech, we continue to hear that the need for Industrial AI has never been more urgent. Fred Bastien from Aspen’s AIoT team agrees. Read on.

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OPTIMIZE 2021 Speaker Profile — A Q&A With Heath Stephens

Heath Stephens will be speaking at OPTIMIZE 2021 as part of the APM Track. He shares his own story and some insights in this blog.

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Oops! It Happened Again

Stay ahead of unexpected equipment malfunctions and empower your team with AI and machine learning to accurately detect and prevent breakdowns.

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