The AI Frontier
Agentic AI, GenAI, machine learning and predictive models transforming the future of banking.
AI is influencing every part of banking, from customer conversations to fraud detection, risk decisions, credit assessment and operations. Many talks across the summit referenced AI, but The AI Frontier went further. This theme focused on how banks are deploying AI responsibly, securely and at scale.
We explored responsible and ethical AI, model governance, explainability, data quality, privacy and transparent decisioning, alongside the practical side of adoption: moving from pilots to production, managing the model lifecycle, building AIOps workflows and creating hybrid human-AI decision models.
As generative AI, LLMs and agentic systems mature, banks need clear frameworks for governance, safety, collaboration and value creation. Anyone shaping how AI impacts customers, teams, processes or technology found their track here.
Topics we explored
- Responsible, ethical and trustworthy AI
- Explainability, fairness and transparent decisioning
- Model risk management, validation and AI assurance
- Applied AI at scale and moving pilots into production
- Generative AI and LLMs for customer, operations and coding
- AI security, adversarial threats and auditability
- AIOps, hyper-automation and cognitive workflows
- Human and machine collaboration in decisioning
- LLM Ops, model monitoring and model drift
- Data quality, lineage, ownership and democratisation