Deloitte's Laks Pernenkil discusses AI in pharmaceutical supply chain manufacturing with Emerj, exploring data layers, AI applications in operations, evolution across industries, and revolutionary data usage impact on manufacturing.
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Quick takeaways
AI drives data-driven decisions in pharmaceutical supply chains, emphasizing clean data for successful implementation.
Automated supplier evaluations with AI enhance supply chain efficiency by proactive issue identification.
Deep dives
AI Transforming Pharmaceutical Supply Chain Manufacturing
AI is revolutionizing pharmaceutical supply chain manufacturing by illuminating untapped data sources, fostering a shift towards data-driven decision-making in operations, and emphasizing the importance of clean and complete data for training AI models.
Data Readiness and Variance Detection in AI Systems
Ensuring data readiness and detecting variations in manufacturing processes are crucial for successful AI implementation, with a focus on cleaning data and training AI models to recognize regime changes.
AI Applications in Supplier Performance Management
AI can automate supplier scorecarding and performance evaluations by analyzing data sets such as certificates of analysis, enabling proactive issue identification and enhancing supplier communication for improved supply chain efficiency.
Today’s guest is Laks Pernenkil, a principal in life sciences consulting at Deloitte. Laks joins Emerj CEO and Head of Research Daniel Faggella on today’s show to discuss AI in pharmaceutical supply chain manufacturing, showcasing a host of AI use cases and applications across manufacturing and operational lines of business. Later, the two surmise the near future of AI adoption in pharmaceutical supply chain management and where business leaders should focus their investments and attention. This episode is sponsored by Deloitte. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.
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