Archives: Agenda

• Understanding the purpose and value of registries in healthcare
• Setting up new registries from design to implementation
• Collaborating with existing registries for data integration and efficiency
• Developing an umbrella approach for local teams to connect under a global protocol
• Defining key operational aspects
• Determining registry duration and appropriate patient enrollment numbers
• Identifying opportunities for continuous improvement and innovation in registry operations

• Reviewing outsourcing models from FSO, FSP and fully inhouse
• Determining the best outsourcing model: pros, cons and assessment tips to consider
• Selecting the right model and partners to fit your needs, optimizing cost and efficiency

• Integrating patient perspectives with those of healthcare professionals to create an effective and executable clinical trial
• Redefining the patients’ role as active collaborators
• Inclusion of the patient lived experience in clinical trial design, outcome measures, and trial success
• Listening to patient priorities and fostering ongoing communication and transparency
• Improving accessibility through digital tools, remote visits and flexible scheduling to help reduce patient burden

• Designing lean, focused studies to generate meaningful results
• Leveraging strategic partnerships to stretch resources
• Maximizing the value of every dataset through smart analysis and clear storytelling
• Presenting compelling data to investors, partners and regulators with credibility and clarity

• Where sponsors overspend
• Effective use of FSPs, near‑shore/off‑shore models
• KPIs to track productivity and quality

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

From skeptic to believer: join Marius Beliunas on his real-world journey through the evolving world of AI in financial services. Discover how rigorous testing and hands-on experience with Moterra’s Business AI Suite led to breakthrough results. Walk away inspired, with practical insights on adopting secure and compliant AI in highly regulated industries.

• Follow Marius Beliunas’ transformation from AI skeptic to advocate for secure, responsible innovation
• Hear how “testing everything and believing nothing” led to real breakthroughs with Moterra’s Business AI Suite
• Explore live examples of AI boosting security, productivity, and compliance in financial services
• Leave equipped with actionable strategies for implementing Agentic AI and GenAI in regulated environments

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