Live Webinar

Webinar: Big Picture What-Ifs: Quantifying the Business Impact of Maintenance Decisions

Warnings and alerts are not new in the industrial world as some predictive alerts can provide months of warning of catastrophic events. The challenge is how to prioritize and respond to these predictive alerts in a more systematic manner that benefits all areas of an organization.

Live Webinar

AI in APC: Deep Learning for Aspen DMC3™

In changing, volatile times, process manufacturers must find new ways to manage demand, improve production and maximize margins. Advancements in artificial intelligence (AI) are giving operators new insights to anticipate issues and make smarter, faster decisions.

Live Webinar

Optimizing Outcomes Across the Pharma Value Chain Network featuring Axendia

The ability of bio-pharmaceutical manufacturers to deliver quality drug products during challenging market conditions is critical for ensuring sustainability over the long run. The COVID-19 pandemic underscored the need to transform the traditional bio-pharmaceutical supply chain to have greater agility and resiliency during market swings and periods of volatility.

Live Webinar

What the Latest Industrial AI Research Reveals About the Plant of the Future

Recently, AspenTech commissioned an independent survey of 200 North American and European decision makers from across engineering and construction, chemicals, oil and gas, pharmaceuticals and metals and mining industry sectors. The findings provided key insights into the current state of Industrial AI adoption, as well as the core challenges that are holding organizations back from becoming the plant of the future.

Live Webinar

How Ferring Automates Product Quality Control with an Online Spectroscopy Model

Pharma companies continue to strive for tight control of critical quality attributes (CQAs). When Ferring Pharmaceuticals wanted to move from batch to continuous manufacturing, they found that laboratory assays were too time consuming to provide meaningful feedback for real-time control, and 100% product quality inspection was not possible.

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