Matthew is a Postdoctoral Research Associate and Data Scientist based at Glasgow University and working to bridge Computational Statistics and Machine Learning with Social, Ubiquitous and Mobile technology. His research focuses on the application of Data Science methods to mobile data and collaborates with researchers from The Glasgow Interaction Group and The Institute of Health and Well-being. He has worked in academia and industry and completed his PhD in Computational Statistics and Machine Learning at University College London in 2011. Outside of academia, Matthew runs the Glasgow A.I. Meetup and advises companies on A.I. and Data Science technology.
Synopsis of Matthew's Talk:
Building on ideas from recent industry reports, I describe a method for identifying opportunities in artificial intelligence verticals. I will explain how services can be positioned according to the complexity of the work involved and the complexity of the data necessary to deliver the service, and I will discuss how the position of a service relates to its potential for disruption by artificial intelligence. I critique the method, discuss applications to healthcare and banking, and expand on the societal implications.