From Data Science to Data Intelligence


July 16, 2013


Leon Bottou and Percy Liang


Microsoft Research, Stanford University


Today, we live in a data-driven world and new directions in data-driven research have already revolutionized big data applications such as gaming, Internet vision, machine translation, and spell checking by bringing machine learning to the core of the information revolution. But to continue to drive innovation, three fundamental aspects of data-driven research need to change: data must be made available to the research community to allow for benchmarking, reproducibility and transparency of experimentation need to happen to enable science, and researchers need to work on solving big and real world problems to advance the state of the art.

This session of the 2013 Microsoft Research Faculty Summit addresses data-driven research by exploring the status of data sharing in data science and looking at what data intelligence may be.