David Nimke
Head, Real World Data Science Oncology Astellas Pharma
Seminars
Wednesday 28th October 2026
What It Actually Takes to Scale AI in RWE From Experimental Success to Organizational Reality
12:30 pm
- Why AI initiatives often succeed technically but stall organizationally once real studies and stakeholders are involved
- Overcoming friction between data science, epidemiology, RWE, and evidence leadership when scaling AI workflows
- Reframing AI as a decision-support enabler rather than a workforce replacement to unlock sustainable adoption
Thursday 29th October 2026
Panel Discussion: How RWE & AI Are Actually Shaping Research & Development & Evidence Strategy Today From Methodology to Impact
9:35 am
- How is real‑world evidence being used across the full development and post‑launch lifecycle, and how should organizations integrate RWE earlier while leveraging AI and other methods to enhance decision‑making at each stage?
- How is real‑world evidence being used in practice to inform R&D and lifecycle decisions beyond methodological decisions?
- What does real‑world AI adoption look like beyond pilots, and what has been required to move from experimentation to scalable, trusted impact?
- Where are the real credibility risks when integrating AI and RWE into regulated evidence generation, and how are leading organizations managing them?
- How should companies balance speed, innovation, and scientific defensibility as AI becomes embedded across evidence generation workflows?
- What strategic and governance capabilities will distinguish evidence leaders over the next 3–5 years?
