Abstract: Recent developments in understanding technology diffusion and business strategy lend themselves towards analysis as directed graphs. Alastair will briefly introduce a Wardley Map, a directed dependency graph situated in a metric space. I will highlight aspects of this representation that lend themselves to analysis using dynamic graphical models. I will discuss some preliminary thinking about modelling aspects of a business, specifically those that are dependent on machine learning systems.
Bio: Alastair is a UCL Computer Science PhD (Computer Vision) with broad experience of applied Machine Learning and Statistical Analysis in a variety of settings. His background includes stints with corporate research, internet startups and universities. He was on the founding team on spin-out Satalia.com (Data Science) and venture backed WeArePopUp.com (Real Estate contracting) and helped setup the IDEALondon innovation centre with UCL and Cisco Systems. His primary objective at Mishcon de Reya is to ensure the firm consistently uses data and machine learning techniques to support and improve its business process, and helps advise its clients on innovation and technology. Alastair continues to maintain an active teaching role in the UCL School of Management (Predictive systems) the Cambridge Judge Business School (Entrepreneurship) and Peking University, Beijing (Technology innovation). His research interests include technology strategy, smart contracting and computational law.