The rapid evolution of generative AI has led to increased adoption but also raises significant compliance challenges. ZS Principal Michael Shaw joins the podcast to discuss the importance of responsible and ethical AI adoption in the biopharma industry, particularly as it relates to compliance, risk management and improving patient outcomes. Highlights include: The importance of developing a comprehensive framework for responsible AI, focusing on principles like fairness, safety, transp...
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The rapid evolution of generative AI has led to increased adoption but also raises significant compliance challenges. ZS Principal Michael Shaw joins the podcast to discuss the importance of responsible and ethical AI adoption in the biopharma industry, particularly as it relates to compliance, risk management and improving patient outcomes. Highlights include: The importance of developing a comprehensive framework for responsible AI, focusing on principles like fairness, safety, transp...
‘We’re all tech leaders now’: A conversation with Salesforce’s Kyrsten Musich
Transforming Biopharma
53 minutes
8 months ago
‘We’re all tech leaders now’: A conversation with Salesforce’s Kyrsten Musich
The opportunities to reshape customer engagement have never been greater for pharma, but what role does the customer relationship management (CRM) system play? Kyrsten Musich, vice president of healthcare and life sciences at Salesforce, talks with Maria Whitman about how CRM can enable a more customer-centric approach for life sciences. Highlights include: Why we need to think about the CRM as a system of context, a system of intelligence and a system of activationHow Salesforce is framing t...
Transforming Biopharma
The rapid evolution of generative AI has led to increased adoption but also raises significant compliance challenges. ZS Principal Michael Shaw joins the podcast to discuss the importance of responsible and ethical AI adoption in the biopharma industry, particularly as it relates to compliance, risk management and improving patient outcomes. Highlights include: The importance of developing a comprehensive framework for responsible AI, focusing on principles like fairness, safety, transp...
