Archives: Agenda

• The recent past: Robotic Process Automation
• Disruption Drivers to traditional services
• AI Applications in FS
• The Four Pillars of AI Transformation
• Deploying AI through the Value Chain
• Understanding the risks of AI

• Identifying and prioritizing high-value AI use cases
• Measuring ROI across efficiency, risk reduction, and revenue growth
• Overcoming challenges in scaling AI investments for long-term impact

• Comparing capabilities and trade-offs between Large and Small Language Models
• Use cases in financial services: scale vs efficiency
• Future outlook: hybrid approaches and evolving model architectures

Description: The session explores how organisations need to manage cyber risk and complexity. We’ll explore the current landscape, and how digital transformation, business pressures and compliance requirements are driving ever more complex networks. We’ll look at the cost and impact of that complexity, and then how organisations can consolidate their technology stack and simplify their security through unified platforms to solve those challenges, including exploring some real world customer stories.

This forward-looking session explores how cybersecurity in financial services will evolve over the next 12–18 months. Drawing on GlobalData’s latest research, it will examine: 

• The adoption and security implications of emerging technologies – including cloud, AI, 5G, IoT, and quantum computing.
• How evolving business models and ecosystems in banking and financial services are reshaping cyber risk.
• The balance between innovation, risk, and operational resilience in an increasingly complex digital environment.