Wild, wild data: Adventures with big data and the IoT in the Angolan highlands

Wael Elrifai leads a journey through the design and implementation of a predictive maintenance platform for Hitachi Rail. The industrial internet, the IoT, data science, and big data make for an exciting ride.

Transport for London (TfL) and WSO2 have been working together on broader integration projects focused on getting the most efficient use out of London transport. Roland Major and Sriskandarajah Suhothayan explain how TfL and WSO2 bring together a wide range of data from multiple disconnected systems to understand current and predicted transport network status.

Food production and preparation have always been labor and capital intensive, but with the internet of things, low-cost sensors, cloud-computing ubiquity, and big data analysis, farmers and chefs are being replaced with connected, big data robotsnot just in the field but also in your kitchen. Tim Gasper explores the tech stack, data science techniques, and use cases driving this revolution.

Transport for London (TfL) and its partners have been working together on broader integration projects focused on getting the most efficient use out of road networks and public transport. Roland Major explains how TfL brings together a wide range of data from multiple disconnected systems for operational purposes while also making more of them open and available, all in real time.

Robots are going to take our jobs, they say. Tim O'Reilly says, "Only if that's what we ask them to do!" Tim has had his fill of technological determinism. He explains why technology is the solution to human problems and why we won't run out of work till we run out of problems.

With IoT and mobile devices, more and more data are being created at the edge of the network, quite a lot of them should be processed at the edge instead of sending over the network to a central cloud …