Biotech AI Strategy: Why Most Pharma AI Projects Fail & How to Fix It? ( ft.Rose LaRocca-Fisch) copertina

Biotech AI Strategy: Why Most Pharma AI Projects Fail & How to Fix It? ( ft.Rose LaRocca-Fisch)

Biotech AI Strategy: Why Most Pharma AI Projects Fail & How to Fix It? ( ft.Rose LaRocca-Fisch)

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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/

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/swangroup
  • Get to know more about Rose LaRocca-Fisch: https://www.linkedin.com/in/rose-larocca-fisch

🔔𝐃𝐨𝐧'𝐭 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐬𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐨𝐮𝐫 𝐜𝐡𝐚𝐧𝐧𝐞𝐥 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐮𝐩𝐝𝐚𝐭𝐞𝐬.

https://www.youtube.com/@Biotech_Bytes/?sub_confirmation=1

🔗 Stay Connected With Us.

LinkedIn: https://www.linkedin.com/company/the-swan-group/

Website: https://swangroup.net/

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#biotechai #pharmatech #lifesciences #datagovernance #clinicaltrials #ittransformation

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