AI in Life Sciences: From Promise to Value Creation

Artificial intelligence has moved rapidly from experimentation to large-scale deployment across the life sciences, yet the gap between technological promise and realized value remains uneven. This keynote reflects on how pharmaceutical and healthcare organizations can translate AI capabilities into measurable impact while preserving scientific rigor, accountability, and long-term trust. Drawing on experience from both industry operations and sector-wide leadership, the session examines common barriers to adoption, organizational readiness, and the evolving role of data-driven decision-making in research and development.

Positioned within CLAIR’s cross-industry dialogue, the presentation highlights how value creation depends not only on algorithms, but also on governance structures, critical thinking, and the capacity of organizations to responsibly integrate AI into complex research ecosystems — themes that closely align with CLAIR’s focus on method, accountability, and organizational transformation.

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