For eight years Boris has been running a research group at the University of Cambridge looking at the application of machine learning in the biosciences, he tells Ian Scales, “and at some point I realised that what we were doing also applied to IoT. So over the years I shifted more to becoming an entrepreneur and doing my own thing.” He’s found he could apply his big data tools to “just about anything” - from analysing the effects of vibration in machines to understanding the occupancy dynamics of parking spaces in London. So what are the barriers to applying these techniques across an Internet of things? “To get our hands on the right data and in the right format: that’s really a big difficulty.” But what’s important, he says, is the concept of data sharing. It’s not enough to have data capture on a device, you have to ensure that the user has control so that the data can be shared to other third parties. But how to ensure that? Watch the video.

Filmed at Smart IoT London, 12 April 2016