The AI Gap in Medical Affairs: Why 95% of Gen AI Projects Fail
In this episode of MSL Talk, Tom Caravela is joined by Vera Kutsenko to explore the AI gap in medical affairs. They discuss the challenges and resistance faced in adopting AI technologies and the current state of AI integration in the industry. Vera shares her insights on the role of culture, governance, and the necessary skills for medical affairs professionals to effectively work alongside AI. The conversation touches on the fear of job replacement by AI and strategies to overcome these concerns. They also emphasize the importance of building a relationship with AI tools and the characteristics of successful AI implementations. The episode concludes with thoughts on leveraging AI for prompt generation and the iterative nature of AI adoption.
Key Points
- Understanding and addressing the AI gap in medical affairs requires focusing on training, consistent usage, and setting proper expectations for operationalizing AI solutions.
- To increase the success rate of Gen AI projects, start with clearly identifying the problem, adopt an iterative approach for implementation, and ensure strong leadership support for change management.
- Building trust and comfort with AI tools involves transparency in how AI makes decisions, encouraging experimentation, and fostering a supportive environment for learning and adaptation.
Chapters
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Transcript
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