Machine Learning has transformed many aspects of our everyday life, can it do the same for public services? Blog post
The past few years have seen machine learning emerge as one of the trendiest topics within the technology sector as it allows computers to find hidden insights from the volumes of data being collected without being explicitly programmed where to look. The resources available to process it have increased dramatically. One of the exciting aspects about machine learning is that its applications are virtually endless and in fact it has been transforming a wide variety of industries in interesting ways. In this post, I would like to share my experience using machine learning algorithms, in particular how we, at Capgemini, have developed the capabilities to successfully integrate machine learning-based technology into a framework to help improve service delivery in the public sector. Many machine learning applications are all around us: Amazon and Netflix online recommendation systems, Spotify and Pandora's personalised playlists, Facebook's automatic face recognition and friends recommendations, Google's personalised searches and adds, Uber's prediction of customer demand and pre-location of cars, to mention just a few.
May-24-2016, 01:47:59 GMT