ING is a data-driven enterprise, with analytics skills as a top strategic priority. AI is at the core of ING’s business, and the company is investing in AI, big data, and analytics to improve business processes such as balance forecasting, fraud detection, and customer relation management. Follow along with (and be inspired by) Bas Geerdink's overview of the company's use cases and technology.
Weisheng Xie dives deep into how China Telecom uses adversarial autoencoders (AAEs) for risk factors modeling to fight a special kind of financial fraud. It's just one step in a long path of unsupervised tasks, but it's proved to be efficient and effective in practice.