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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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...
Episode: 17 - Essential Program Management Considerations for Biopharma With Jamie Martin
Evaluating Biopharma
22 minutes
1 year ago
Episode: 17 - Essential Program Management Considerations for Biopharma With Jamie Martin
In this episode of Evaluating Biopharma, host Ben Locwin and Jamie Martin, PMP, senior consultant at Black Diamond Networks, discuss the tips and tricks of successful program management. Martin shares his mental checklist of must-haves to ensure a successful start, techniques on what to do when things fall off-track, and the keys to continuous success as the program is running. He also provides advice for listeners who may have newer programs or are new to program management, as well as the “...
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...
