Episode Details
Back to EpisodesBiotech AI Strategy: Why Most Pharma AI Projects Fail & How to Fix It? ( ft.Rose LaRocca-Fisch)
Description
AI is moving incredibly fast across the life sciences sector, but many organizations still struggle to build systems that deliver real operational value. In this episode, tech leader Rose LaRocca-Fisch explains why strong data governance and business alignment must come before chasing software trends. Please visit our website to get more information: https://swangroup.net/ย
Rose shares her practical leadership experience guiding pharmaceutical companies, CDMOs, and global biotech organizations through massive growth. The discussion breaks down why high-profile tech implementations collapse and outlines the exact steps needed to prepare your infrastructure for enterprise-grade tools.
Key themes covered in this conversation:
- Why does advanced software amplify existing operational flaws instead of fixing them
- The OASIS framework for sustainable and scalable IT transformation
- How data readiness directly impacts clinical trial success and manufacturing yields
- Real-world applications using platforms like Databricks to speed up patient enrollment
- The shift toward AI-assisted work and managing data integrity risks
Links from this episode:
- Get to know more about Steven Swan: https://www.linkedin.com/in/swangroupย
- Get to know more about Rose LaRocca-Fisch: https://www.linkedin.com/in/rose-larocca-fischย
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