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.
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