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By - Kossi Molley (he/il)

Predictive Analytics for Determining Non-Conformities in Pharmaceuticals

Predictive analytics applied to determining non-conformities in the pharmaceutical industry represents a significant advancement in ensuring product quality and safety. Here’s a detailed analysis of this field: 1. Importance of Predictive Analytics in Pharmaceuticals 2. Predictive Analytics Methods 3. Specific Applications 4. Challenges and Considerations In conclusion, predictive analytics offers significant potential to improve quality,

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By - Kossi Molley (he/il)

AI: A Game-Changer for Quality Management Systems

Artificial Intelligence (AI) has rapidly emerged as a transformative technology, revolutionizing industries across the globe. One area where AI is making significant strides is in Quality Management Systems (QMS). By leveraging AI-powered solutions, organizations can enhance efficiency, improve decision-making, and achieve higher levels of quality. In this article, we will explore the various ways AI

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By - Kossi Molley (he/il)

Addressing Drug Shortages with AI and ML

The use of artificial intelligence and machine learning in the pharmaceutical industry holds immense promise for overcoming drug shortages. By leveraging predictive analytics, real-time demand forecasting, quality control, regulatory compliance, inventory management, and early warning systems, AI and ML can help ensure that patients have reliable access to the medications they need.

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By - Kossi Molley (he/il)

Six reasons why automating digital data management in biopharmaceutical is important

Automating digital data management in biopharmaceutical manufacturing is a process of using digital technologies such as cloud, artificial intelligence, data lakes, and wearables to collect, store, analyze, and share data across the entire development lifecycle.

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By - Kossi Molley (he/il)

Overview of Industry 4.0 or Digital Transformation: Are you ready?

Industry 4.0 refers to the fourth Industrial Revolution through the use of cyber-physical systems. It consists of using the digital technologies to make manufacturing more agile, flexible and responsive to customers. Industry 4.0 digitizes and integrates processes vertically across the entire organization, from product development and purchasing, through manufacturing, logistics and service. All data about

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