AMY JONES
GENERATIVE AI low-risk applicants but struggle to spot the warning signs of potential defaults, precisely where accurate prediction matters most.
Using generative adversarial networks( GANs), Iain’ s team created synthetic examples of risky borrowers, balancing the dataset whilst preserving the statistical relationships that indicate credit risk. The approach relies on a sophisticated adversarial setup where two neural networks compete: a generator creates synthetic data whilst a discriminator attempts to distinguish real from artificial examples.
AMY JONES
TITLE: PRINCIPAL COMPANY: ERNST & YOUNG LLP INDUSTRY: CONSULTING
Leads EY’ s US Public Sector AI initiatives, helping government agencies navigate AI adoption and data strategy. Recently promoted to Partner in 2024, specialises in making data accessible and building scalable analytics ecosystems. aimagazine. com 167