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Companies on their Pharma 4.0 journey need tools that foster compliance and are compatible with their existing hardware and digital ecosystem, so they can manage today’s dynamic environment. AspenTech’s flexible Manufacturing Execution Systems (MES) solution automates, guides and digitally records SOPs according to cGMP guidelines, reducing human error and minimizing risk of deviations.

AspenTech DataWorks is purpose-built to be the global leader in industrial data management.

The pandemic heightened the need for agility and resiliency within the supply chain. Speed to market remains a top business imperative as we move into the next normal for pharma.

AspenTech provides AI-enabled digital solutions that help customers optimize outcomes across the pharma value chain network using a holistic approach to digital transformation in an ever-changing world. Learn how our approach ensures the security of supply and pushes the boundaries and limits of what is possible for optimization, multiplying performance gains from digital transformation in this video.

The COVID-19 pandemic highlighted the need for agility and resiliency within the supply chain for pharmaceutical companies. It is clear that speed to market will remain a top business imperative as we move into the next normal for pharma.

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.

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.

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.