Stanford mathematics professor Gunnar Carlsson’s startup Ayasdi uses topological data analysis to better understand huge sets of data. While other companies focus on handling queries, Carlsson’s approach analyzes the shape of data and identifies patterns and clusters. These clusters help people to understand the larger picture of the big data analysis, as the clusters can represent segments of customers or patients, for example. Continue reading Ayasdi Uses New Topological Approach to Big Data Analysis