UNSCRIPTED INTERVIEWS
EPISODE #4
Navigating the AI Revolution in the Pharmaceutical Industry: Overcoming Organizational Hurdles At Scale
In this episode you will learn :
- Application of AI in Drug Development, Practical Perspective: The discussion delves into the practical applications of AI in drug development.
- AI in Pharma, Hype? Or real Impact?: Evaluating whether the application of AI in pharmaceuticals is based on hype or tangible impact.
- How Pharma Companies Invest in AI and New Technologies: Insights into the investment strategies of pharmaceutical companies concerning AI and new technologies.
- Role of Leadership In Successful Adoption of New Technologies: The importance of leadership in successfully integrating new technologies into pharmaceutical processes.
- Pharma leadership naturally shifting towards being more data savvy: Observations on the natural evolution of pharmaceutical leadership towards becoming more adept at handling data.
- Role of Organizational Culture for a Successful Adoption of New Technologies: Discussion on the significance of organizational culture in fostering successful adoption of new technologies.
- Buy it or Make it? Is Outsourcing Still a Viable Option in the AI Era?: Considering whether outsourcing remains a viable option amidst the rise of AI technologies.
- Team Composition in Pharmaceutical Companies in the AI Era, Change in Perspective?: Exploration of how team compositions within pharmaceutical companies may be evolving in the era of AI.
- Role of Regulatory Agencies in a Successful Application of AI in Pharmaceutical Companies: Understanding the role of regulatory agencies in facilitating the successful application of AI within pharmaceutical contexts.
- Does AI and New Technologies' Disruptive Nature Alter the Impact on Patient Engagement: Examining how the disruptive nature of AI and new technologies affects patient engagement.
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TODAY'S SPEAKERS
MEET THIS EPISODE'S EXPERTS
"New technologies in Pharma poses significant organizational hurdles. Robust data infrastructure, stringent regulatory compliance, and a data savvy workforce are imperative"
RAD ANIBA
RANBIOLINKS
"I use AI, mathematics and statistics to help pharmaceutical companies optimizing the drug development and their clinical trials through data driven decision making"
PAUL AGAPOW
GSK
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