How Intel Uses AI to Identify Sales & Marketing Opportunities - Intel AI

The second component is a suite of machine learning and natural language processing (NLP) models for segmenting potential customers. Web pages are fed into a multi-label convolutional neural network (CNN) text classification model that was developed by Yoon Kim. We further boost it by utilizing a pre-trained multi-lingual BERT language model developed by a team at Google to help scale across languages and classes with scarce training data. The data we use to train the model is enriched by crawling tens of thousands of company sites with labeled industry information found on Wikipedia. For companies without labels, we take advantage of the vast labeled Wikipedia corpus by employing semi-supervised learning.