AI Driven Banking at Scale
This dinner brings together leaders shaping the future of banking to discuss what it truly takes to operationalise AI at enterprise scale.
Artificial Intelligence is reshaping banking faster than any other industry. Yet despite significant investment, only a small percentage of financial institutions are realising measurable business value from AI initiatives.
The challenge is not the models.
It's the data.
Fragmented systems, siloed ownership, disconnected infrastructure, and decades of legacy architecture prevent AI from accessing the real-time, trusted data it needs to deliver meaningful outcomes at scale.
Discussion Themes
1. Unlocking Value Across Siloed Data Ecosystems - How are organizations currently approaching data across fragmented systems and siloed ownership structures - and what structural change would unlock the greatest value?
2. The Real Cost of Underutilised Data - Industry research shows that 68% of data in financial services remains underutilised. Is the greater challenge:
- Finding the right data?
- Accessing it quickly enough?
- Or trusting its accuracy once it's available?
3. The Next 18 Months of AI in Banking - Which AI use case has the greatest potential to transform banking operations, customer experience, or risk management - and what technological or architectural bottleneck must be solved first?
The Foundation of AI Is Not the Model. It's the Data
AI outcomes are ultimately determined by the quality, accessibility, and trustworthiness of the data beneath them. This dinner brings together leaders shaping the future of banking to discuss what it truly takes to operationalise AI at enterprise scale.
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