Recently, I had the pleasure of attending a full-day event organized by Customertimes in Basel. This gathering was dedicated to exploring the advancements and applications of AI within healthcare organizations. It was my first interaction with Customertimes since our positive encounter at Next Pharma Vienna, and I was excited to delve deeper into AI’s practical and strategic applications in healthcare.

Setting the Stage: The Pharma Industry’s AI Landscape

In a cosy meeting room at a hotel in Basel, experts presented real-world applications and the theoretical underpinnings of AI in healthcare. The discussions were rich with insights, emphasizing that AI is not just a buzzword but a transformative tool poised to revolutionize the industry.

Data: Cold Storage vs. Currency

One of the central themes was the role of data in AI. Data, we agreed, can either be cold-stored or used as currency. Cold storage accumulates data without immediate application, often leading to underutilized resources. In contrast, treating data as currency means creating information and service layers around data points, transforming raw data into valuable insights and metadata. This approach not only enhances the relevance of the data but also encourages continuous data generation and utilization by users.