This talk explored topics including industrialisation, customer experience and automated learning at Prudential. How can we drive actions? What algorithms are used and when? What is the most appropriate UI to use?
Michael deeply enjoys playing with data and leading-edge statistical methods to tackle real world problems, which today means applying machine learning and neural networks to large-scale, multi-structured data sets. He is currently based in London but travelling the world. Some 20 years of experience conducting analytics projects as a data scientist, previously in academia and strategy consulting: he build models, teams and robots.