Machines get more and more involved in our daily life and they learn how to think. If you want to find out how, let Andreas Schneider tell you: They are trained by people and they need sensitive data.

Andreas is known as a data scientiest and subject matter expert in the area of unstructured data analysis. He joined his current employer, IBM, in 2008 as a scholarship student. During his studies he delivered several projects at the university and IBM in the area of unstructured data analysis, text mining and algorithms, classification, semantic web and computational linguistics. His regular career at IBM started in April 2010 as a consultant for business analytics and optimization. Since August 2015, Andreas is part of IBM Watson Europe to build cognitive solutions based on unstructured data and natural language processing technologies as a solution architect. His professional experience and education involve more than eight years of practical knowledge in text analytics modeling and development, unstructured data analysis, data mining, supervised & unsupervised learning techniques, content analytics and natural language processing.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx