The AI in Business Podcast
Essential Infrastructure Solutions for Life Sciences Manufacturing and Supply Chain Workflows - with Kartik Pant and Shreyas Becker of Sanofi
Feb 11, 2025
Kartik Pant and Shreyas Becker from Sanofi dive into the evolving landscape of data and AI in life sciences manufacturing. They discuss the critical need for a unified data architecture and the benefits of cloud adoption to enhance collaboration. The duo emphasizes a problem-driven approach to technology, focusing on specific use cases to optimize processes. They also explore the transformative potential of generative AI and how innovative data management solutions can revolutionize operations across the industry. A must-listen for those looking to harness AI in life sciences!
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Quick takeaways
- A unified data architecture is crucial for harmonizing diverse systems in biomanufacturing, enabling effective use of AI and machine learning.
- Organizations should adopt a problem-defined approach to technology, focusing on specific challenges to ensure AI investments align with business objectives.
Deep dives
Challenges of Data Standardization in Biomanufacturing
Biomanufacturing faces significant challenges due to the complexity of data management across multiple production sites. Companies often have many different systems, including various versions of ERP and lab systems, leading to a lack of data standardization. This inconsistency makes it difficult for data scientists to utilize machine learning and AI effectively, as the same data means different things in different contexts. To address this, it's critical to harmonize data across locations to ensure that column headers and formatting are consistent, enabling better use of advanced technologies.
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