Kelly H. Zou
CEO AI4Purpose
Seminars
Thursday 29th October 2026
Panel Discussion: How RWE & AI Are Actually Shaping Research & Development & Evidence Strategy Today From Methodology to Impact
9:05 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?
Wednesday 28th October 2026
Chair’s Opening Remarks
8:55 am
Wednesday 28th October 2026
Chair’s Closing Remarks
5:15 pm
Tuesday 27th October 2026
AI/ML & Digital Innovation for Evidence Generation & Enterprise Implementation From Transparency, Trustworthiness, Governance, to Risk Mitigation
1:00 pm
This interactive workshop moves beyond theoretical AI discussions to focus on practical, regulated, decision‑grade adoption of AI (including agentic AI) in real‑world evidence environments. The session will emphasize governance tradeoffs, enterprise implementation realities, and lessons learned from what has genuinely scaled, and what has failed.
This workshop will gather experts to discuss:
- What Has Fundamentally Changed with AI, Agentic AI, and Digital Innovation in RWE
- Trust, Transparency, and Trustworthiness Across the Data Lifecycle
- From Generic AI to Pharma‑Specific, Decision‑Grade Use Cases
- Governance, Validation, and Risk Mitigation in Regulated Environments
- Enterprise Implementation Lessons on Where AI Has Delivered & Where It Has Failed
- Building organizational readiness for AI‑enabled RWE
