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How Industrial AI & Next-Generation Data Management Support Future-Proofing the Supply Chain

Building resilient and future-proofed supply chains require implementing technology that can bring people and processes together. Industrial AI can play a role in both alleviating current supply chain problems and future-proofing global supply chains against future shocks.

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Artificial Intelligence can Elevate Pharma Manufacturing

Unnecessary downtime can be expensive for pharmaceutical manufacturing operations; unplanned stoppages can delay the delivery of much needed product, potentially causing damage to a company's reputation.

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Making the Journey to PAT and Pharma 4.0

In this article from European Pharmaceutical Review, David Leitham, Senior Vice President and General Manager at AspenTech®, explains how implementing PAT pushes the industry towards Pharma 4.0. Download this article to learn more.

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How and Why Pharmaceutical Manufacturers are Applying Artificial Intelligence

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.

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Working In Silos

In the Pharma Times article “Working in Silos” AspenTech’s Justin Eames discusses the pitfalls of working in silos in the pharmaceutical industry and explains how AspenTech’s solutions can make an impact at speed using predictive analytics. Discover how to predict asset degradation and failure well in advance of an impending breakdown or disruption and gain the ability to make decisions that can not only minimize cost and disruption, but that can also protect public health by ensuring continuity and resulting quality of drug supply.

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Acceleration of Digitalisation is Shaking Up the Process Industry

The impact of COVID-19 has accelerated digitalisation for the process industry. In this exclusive interview with Pipeline Oil & Gas News, Antonio Pietri, President and CEO of AspenTech®, discusses how this acceleration of digitalisation will lead to the creation of a Self-Optimizing Plant.

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数字化和工业AI如何加速可持续发展?

2015年《巴黎协定》和其他国际气候变化协定有助于提高全球对各国需要采取紧急行动应对气候变化的认识。随着企业继续关注可持续性,围绕数字化作为关键推动因素的作用,一个共同的主题正在形成。事实上,ARC咨询集团最近的一项调查显示,75%的受访者认为数字化转型对于实现可持续发展目标非常重要。

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Blacks Swans and Gray Rhinos: Building Future Resilience

As all companies have been challenged by the current economic and health crisis, the successful recovery requires a new view toward future development and growth with metrics that consider broad and more long-term goals. Featured in Hydrocarbon Processing, AspenTech’s Paige Morse shares considerations for building future resiliency that center around digitalization.

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How Digitalization and Industrial AI are Accelerating Sustainability

The 2015 Paris Agreement and other international climate change accords have helped raise global awareness of the need for countries to take urgent action to combat climate change. As companies continue to focus on sustainability, a common theme is taking shape around the role of digitalization as a key enabler. In fact, a recent ARC Advisory Group survey revealed that 75% of respondents rated digital transformation as highly important for achieving sustainability goals.

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Processing Magazine: Why Time's Up on Preventive Maintenance

In this article, Robert Golightly explains the limitations of traditional maintenance practices and how new advancements in predictive maintenance are pushing assets and equipment to the limits of performance. Learn how today's industry leaders are using low-touch machine learning to extract value from design and operations data to predict when and where failures will occur.

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