WeSee reduces claims fraud by providing assessors with key insight at point of application or first notice of loss by detecting a range of facial cues in real-time via video or mobile phone app.
WeSee helps the financial sector improve the customer management experience in-store, at the cash point and on the trading floor through real-time emotional recognition, driving better service, safety and security.
They built this system end-to-end for us, from the model training to the actual API that we used, and all in record time. The output of this system was used to make it easier for the video editors on the ground, equipped with their smartphones, to find the best clips to share on social media. Applying the latest in deep learning artificial intelligence, our core Visual Intelligence Engine VIE is developed with biologically inspired programming patterns called a Convolutional Neural Network CNN , which specialises in analysing visual imagery.
David has an extensive background in business and technology, and over the past decade has led highly successful European technology and media organisations.
Over a career spanning more than 20 years, Stuart has built a strong reputation for driving financial and operational performance, and developing strategic opportunities in high-growth technology businesses. His previous employers include software-as-a-service innovators Lineup Systems and GlobalExpense, online media business eQuantive and Microsoft, among others.
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Dr Yap is also a Fellow of several colleges. Fellowship in Canada Copyright Create a site with.
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