The AI in Business Podcast Essential Infrastructure Solutions for Life Sciences Manufacturing and Supply Chain Workflows - with Kartik Pant and Shreyas Becker of Sanofi
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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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Data Standardization Challenge
- Biomanufacturing is complex, with over 50 sites globally, often acquired, leading to data and system inconsistencies.
- Standardizing data across these sites for machine learning and AI is crucial.
System Inconsistency
- Implementing a one-size-fits-all system is challenging due to the high variability in biomanufacturing data.
- Advanced functionalities are sometimes limited by the lowest common denominator approach.
Problem-Driven Approach
- Avoid vendor-driven technology approaches.
- Adopt a problem-defined approach and focus on specific use cases.