Why use RBF Learning rather than Deep Learning in an industrial environment

One of today's most overused buzzword is "Artificial Intelligence". Both technical and general press is full of articles talking about machines that drive autonomous cars and invent new languages. Machine Learning is an essential part of the AI puzzle and Deep Learning is one of the most popular approaches to implement Machine Learning. Interestingly, Deep Learning is not new. Geoffrey Hinton demonstrated the use of back-propagation of errors for training multi-layer neural networks in 1986, more than 30 years ago. Even earlier, in the 60's, Kelley, Bryson and Ho published research papers about dynamic optimization which many consider as the basis for back-propagation.