Bryn is the current Chief Product and Technology Officer at Smart Data Foundry. He has been with the company since 2022 and has over 20 years of experience leading technology and product teams in the financial services industry. Bryn’s background is in banking technology and products. He most recently worked at NCR, leading their Fintech team responsible for partnerships and acquisitions for the US Digital Banking business. Prior to that, he was in charge of the International Digital Banking and Open Banking product strategy at NCR. Before joining NCR, Bryn spent more than a decade at Clydesdale Bank/National Australia Bank (now Virgin Bank) in various leadership roles in technology, such as change, development and architecture. He has a wealth of experience in driving business, product and IT strategy from identification of needs to execution, with a strong commercial focus.
Smart Data Foundry was established in 2022 to unlock the power of financial data to tackle big issues and create positive impact across society, the economy and the environment.
Located in Edinburgh Futures Institute, the company is a spin-out of Edinburgh University. It is an independent, not-for-profit organisation and works with major financial institutions, including the Bank of England and the Financial Conduct Authority, the public sector and charities, to use data for good.
In association with its partners, Smart Data Foundry uses financial data to understand the economic dynamics at play in people’s lives and how consumers, businesses and communities can be helped with the insights.
Data privacy and security are the pillars of Smart Data Foundry’s work, with rigorous protocols in place to ensure the ethical use of data held in its Trusted Research Environment (TRE). Its TRE infrastructure is provided by the Edinburgh Parallel Computing Centre (EPCC) at the University of Edinburgh, a supercomputing centre with a strong track record of supporting secure cutting-edge research.
Smart Data Foundry has developed aizle, a synthetic data platform. Using advanced agent-based AI simulation, aizle generates data with exceptional utility, fidelity, and zero risk. It mirrors and even surpasses real-world data features without the need for actual input data, completely eradicating privacy concerns and overcoming all data and security constraints.
