No room for fakes: Real data is the fuel for machine learning Networks Asia

Machine learning is about to become a common part of enterprise software; and for it to be effective, real data is needed. "Data is the fuel for machine learning, as you need data to train algorithms," said Markus Noga, SAP SVP of Machine Learning, in an interview with Networks Asia. "Depending on the quality of the underlying data, ML can even outperform human performance (e.g. in image recognition). Hence, enterprises need to capture, prepare, and clean data in order to build intelligent models. Moreover, ML requires real data and cannot be effectively trained with generated (or fake) data."