Marketing and artificial intelligence: with neural net market segmentation example

While the domain of marketing has developed many hypothesizes and theories much of it is still heuristic based. both in research and practice, marketers must deal with problems in the data, partially proven hypotheses, etc. which results in such uncertainty that extensive experience and understanding of both research literature and proven practices is necessary to successfully operate in this field. This paper outlines some of the potential areas for artificial intelligence solutions to marketing problems. A neural net example segmented two vectors of demographic data into several identifiable regions. The neural net approach to discrimination is applicable to many similar business problems such as bond or bankruptcy classifications, credit ratings, etc