Why Data and AI Matter for Your Life Science Success

Scientific innovation, combined with ingenuity in production methods has always been a cornerstone of success in the life sciences. This applies both when opening new therapeutic areas and when reinventing established ones. Today, that innovation is increasingly being augmented by data and AI initiatives aimed at accelerating the medicinal development pipeline.

The next major focus is improving the operational backbone of the pharmaceutical value chain through AI. In areas such as clinical operations, regulatory affairs, quality, and pharmacovigilance, large initiatives have been launched to streamline processes and improve office efficiency using digital platforms and generative AI tools. Early results from these first movers have been mixed. While poor data quality has often limited the impact of AI, attention is now shifting toward the next generation of technologies—such as agentic AI—and how they can be applied more effectively. In Denmark, it is noteworthy that Novo Nordisk recently announced a major investment with OpenAI to strengthen operations across a broad range of AI initiatives.

At PharmaRelations, we see that our clients continue to focus strongly on both innovation and efficiency. However, achieving real impact often requires a coherent data and AI strategy. Which data needs improvement? Which technologies are most relevant for regulatory, quality, or safety processes? Which workflows can be supported by tools like Copilot, and where is there a need for more dedicated AI solutions—or even agentic AI?

Navigating the space between pharmaceutical development and rapidly evolving AI technologies is a topic I will address in the context of growing biotech companies at the Medicon Valley Alliance R&D Network event on 7 May in Copenhagen. The topic is “From Copilot to Agents: A Practical AI Path for Biotech R&D”. You are very welcome to join or to reach out if you are unable to attend and would like to continue the conversation.

Sign in to the event: Agentic AI in Life Science R&D: From Potential to Practice - MVA

Contact:
Niels Buch Leander, EVP Denmark, Chief Digital Officer
+45 5085 0512 - niels.leander@pharmarelations.dk