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Evaluating Biopharma
Evaluating Biopharma
24 episodes
1 month ago
In this episode of Evaluating Biopharma, host Ben Locwin and Scott Endicott, executive leader of Healthcare Solutions Integration, talk about data governance and data provenance—why they matter and how the industry can achieve them. With 30 years of experience, Endicott has a deep understanding of training AI and ML models, particularly when patient data is included, and offers advice on how to navigate the challenges of data governance and provenance in the near-term future. Links from...
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Life Sciences
Science
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In this episode of Evaluating Biopharma, host Ben Locwin and Scott Endicott, executive leader of Healthcare Solutions Integration, talk about data governance and data provenance—why they matter and how the industry can achieve them. With 30 years of experience, Endicott has a deep understanding of training AI and ML models, particularly when patient data is included, and offers advice on how to navigate the challenges of data governance and provenance in the near-term future. Links from...
Show more...
Life Sciences
Science
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Episode 4: Anticipating Disruptions: Identifying and Planning for Shortages
Evaluating Biopharma
19 minutes
2 years ago
Episode 4: Anticipating Disruptions: Identifying and Planning for Shortages
In the biopharma space, nearly every moving part is contingent upon a functioning supply chain. In this month’s episode, moderator Ben Locwin, vice president of project solutions at Black Diamond Networks, speaks with Rich Musa, director and head of supply chain at Cipla Therapeutics, about anticipating supply chain disruptions and planning for shortages. Musa talks about maintaining materials inventory, structuring robust supplier contracts, securing backup suppliers, and investing in a thir...
Evaluating Biopharma
In this episode of Evaluating Biopharma, host Ben Locwin and Scott Endicott, executive leader of Healthcare Solutions Integration, talk about data governance and data provenance—why they matter and how the industry can achieve them. With 30 years of experience, Endicott has a deep understanding of training AI and ML models, particularly when patient data is included, and offers advice on how to navigate the challenges of data governance and provenance in the near-term future. Links from...