AI/ML & Digital Innovation for Evidence Generation & Enterprise Implementation From Transparency, Trustworthiness, Governance, to Risk Mitigation
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