Archives: Agenda

• Effectively generating real world evidence in an efficient and timely manner
• Incorporating strategies that allow for high-quality real-world evidence collection
• Overviewing regulation to improve understanding of real-world evidence submissions

• Unique Nature of Radiopharmaceuticals in Clinical Trials
• Strategies for Effective Data Management
• Operational Challenges in Trial Design & Execution
• Complexity of Multimodal Data Integration
• Unique Challenges in Data Management

• Building robust governance frameworks to manage AI risk and accountability
• Ensuring transparency, fairness, and trust in AI-driven decision making
• Aligning governance with evolving regulations and industry best practices

• How far has data analysis, hallucinations and bias silos developed within AI in FS?
• How has AI impacted quality of analytics and data collections for utility?
• Transforming data context and RPAs to become accurate and cognitive

Interactive roundtable sessions offer a unique opportunity to come together with your peers to share best practice and develop solutions to critical challenges facing the industry as a whole. Hosted by industry experts and each focused on a single issue, roundtables are an exciting, interactive way to build your personal network and learn from the experience and expertise of others. 

Each roundtable session lasts for 40 minutes and delegates may attend up to 2 roundtables.

Potential Roundtable Topics

AI-Powered Personalisation in Wealth and Retail Banking

How can AI deliver hyper-personalised customer experiences without crossing the line on privacy? Delegates will discuss real use cases in advisory, product design, and customer retention.

Takeaway: Practical steps to balance personalisation, compliance, and customer trust.

The Next Phase of Generative AI in Financial Services

Exploring how GenAI can move beyond pilots into production—covering documentation, customer interactions, and process automation.

Takeaway: Identifying scalable use cases that deliver business impact while managing risk.

Cloud, Data Infrastructure, and Model Deployment at Scale

With AI workloads growing, how can FS firms modernise data pipelines and ensure resilience across hybrid and multi-cloud environments?

Takeaway: Lessons on scaling AI infrastructure securely and efficiently.

Ethics, Bias, and Trust: The Human Side of AI

AI adoption is accelerating, but reputational risk remains high. This roundtable explores bias mitigation, fairness, and embedding responsible AI frameworks.

Takeaway: Approaches to building trust with regulators, customers, and boards.

AI in Risk, Compliance, and RegTech Innovation

From AML to stress testing, AI is changing risk management. Where are the biggest gains and the hardest compliance challenges?

Takeaway: Roadmap for applying AI in risk and compliance functions while meeting supervisory expectations.

Talent, Skills, and Organisational Readiness for AI

AI transformation is as much about people as technology. What roles, skills, and structures are needed to succeed?

Takeaway: Strategies to upskill teams, attract scarce AI talent, and reshape operating models.

The Future of AI-Driven Trading and Investment Strategies

AI is reshaping front-office functions from quant models to robo-advisory. Where is the edge, and where are the risks?

Takeaway: Insights into balancing innovation with risk management in trading and portfolio optimisation.

• Understanding the potential of agentic AI to move from task execution to autonomous decision-making
• Exploring use cases in customer service, trading, compliance, and operations
• Assessing risks, governance, and safeguards required for responsible deployment