On today’s episode we talk to Tom Benham about machine learning. Tom has worked in finance and risk services and has studied data science machine learning. Although the term seems to be used widely and frequently it can also be an area in which information is not always readily available. Tom gives us some insight into how algorithms are becoming useful in his field of work as well as some other professional examples. We chat about the positive sides of this,  such as the reduced chance of human error, as well as looking at the shortcomings of present configurations such as data biases. If you want an introduction to a vital concept and area of the contemporary world as well as a gateway to more info on the subject, we got you! Listen in to hear all about it!