Archives: Agenda

• Fast, Furious, or Never-Ending: Entertaining Case Studies on Accelerating and Unexpectedly Inflating Phase Ib/II Trial Timelines and Budgets. A Site Team Perspective.

As with all therapeutic areas, artificial intelligence is generating significant buzz in oncology research. But where does it offer meaningful impact today, and where is there still work to be done? In this session, we’ll explore

• The practical realities of applying AI tools within the context of electronic clinical outcomes assessment (eCOA) in oncology trials where complex symptom profiles, high patient burden, and global trial scale demand more intelligent solutions.
• Discuss meaningful targets for AI use today, to generate operational efficiencies in study setup and translation
• Explore the future promise of adaptive, patient-facing tools that can better capture quality-of-life data and treatment response
• This session offers an honest look at what’s achievable now, what’s emerging, and how sponsors and CROs can think strategically about this fast-moving future in oncology.

We explore how Retrieval-Augmented Generation (RAG) can transform quantitative research workflows by enabling accurate, context-aware answers sourced from technical documentation.

• How to build RAG pipelines to handle complex, domain-specific queries efficiently
• What are the key technical challenges, like: retrieval strategies, query handling, grounding and answer generation
• How to train and evaluate these systems
• What are the best practices and learnings for designing robust, scalable AI assistants for quant and business decision-making

Navigating Agentic AI and Emerging Threats in Financial Services

• The Current State of AI Security in Financial Services – How organisations are balancing rapid AI innovation against regulatory requirements (EU AI Act, DORA) and legacy infrastructure challenges while maintaining robust security controls
• Agentic AI: The Next Security Frontier – Understanding autonomous AI systems in financial services, their unique security challenges, and practical approaches to securing AI agents that make independent decisions and interact with critical systems
• AI-Powered Security Tools Moving to Production – Demonstrations of AI security solutions including automated threat modelling and AI-generated incident response scenarios, showing how GenAI is transforming defensive security operations
• Industry Trends Shaping the Future – The shift from AI governance theatre to measurable implementation, growing enterprise acceptance of GenAI for defensive security, and the emergence of cross-industry collaboration through open-source security tools
• Practical Implementation Focus – Key takeaways for building production-ready AI security programs that deliver measurable outcomes while enabling innovation velocity