Making sense of big data: Graph technology and machine learning

The theory of six degrees of separation, first proposed in 1929, suggested that every individual in the world was connected to anyone else in no more than five links. Today, social networking tools and graph technology can accurately map and extract valuable insights from the relationships between various entities in a network. Networks can also be analysed by machine learning, a technique in which a computer can adapt its own algorithms. Modern manufacturing equipment has been advancing rapidly; plants are filled with sensors to monitor equipment performance. The number of sensors that allow devices to connect to the internet is growing and so too is the volume and complexity of data available to plant managers.