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The Evolving World of Data Management in Life Science

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Manage episode 502382273 series 3643376
Content provided by Keith Parent. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Keith Parent or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode of the Driving the Business of Science podcast, Keith Parent, CEO of Court Square Group, discusses with Mario Perkins, President of Triam Ltd, the intersection of IT infrastructure and data management in the life sciences. Triam specializes in data management and analytics, particularly in healthcare and life sciences, and has recently partnered with Court Square. They discuss the shift from legacy systems like SAS to open-source tools like Python and R, the importance of data quality, and the benefits of AI and machine learning in drug development and clinical trials. They also touch on the transition from on-premise to cloud-based solutions and the role of hybrid approaches in managing large data sets.

  continue reading

15 episodes

Artwork
iconShare
 
Manage episode 502382273 series 3643376
Content provided by Keith Parent. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Keith Parent or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode of the Driving the Business of Science podcast, Keith Parent, CEO of Court Square Group, discusses with Mario Perkins, President of Triam Ltd, the intersection of IT infrastructure and data management in the life sciences. Triam specializes in data management and analytics, particularly in healthcare and life sciences, and has recently partnered with Court Square. They discuss the shift from legacy systems like SAS to open-source tools like Python and R, the importance of data quality, and the benefits of AI and machine learning in drug development and clinical trials. They also touch on the transition from on-premise to cloud-based solutions and the role of hybrid approaches in managing large data sets.

  continue reading

15 episodes

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