Aaron Honour

Financial institutions face a unique challenge when adopting AI: innovation must move forward without compromising regulatory compliance, governance, or data security. While many organisations are exploring AI-powered analytics and automation, the reality is that trust in the underlying data remains the biggest barrier to scaling these initiatives. In this session, Aaron Honour, Head of Data Engineering and Architecture at Shawbrook Bank and Eleanor Treharne-Jones CEO at Bigeye will share how financial institutions can build the data trust foundations required to safely adopt AI and advanced analytics. Operating in one of the most regulated industries, Shawbrook is navigating the challenge many banks face: maintaining strict regulatory compliance while modernising data platforms and exploring AI-driven capabilities. The session will highlight how data observability and automated sensitive data scanning help financial institutions identify PII, monitor data quality, and understand lineage across complex pipelines. By embedding trust signals, such as data quality monitoring, lineage visibility, and automated classification, directly into their data platforms, organisations can improve transparency, reduce risk, and enable responsible AI experimentation without compromising compliance. If you’re working in financial services and trying to balance AI innovation with governance and regulation, this session will provide a practical blueprint for building trusted data foundations…