“The Ayasdi co-founders attribute this to the prevailing reliance among data scientists on old models — finding insights by asking questions and writing queries. The problem with this is that queries are inherently based on human assumptions and biases, and, in turn, query results tend to only reveal slices of data, rather than providing visibility into the relationships between similar groups of data. This method of discovering insight in Big Data tends to be rely heavily on iterative guesswork and chance, and thus takes time to produce real results.
To address this problem, Ayasdi is today officially launching its cloud-based insight discovery platform, which aims to deliver insight derived from massive datasets quickly, without relying on queries. The machine learning platform combines computer science with a branch of mathematics called “Topological Data Analysis,” which allows Ayasdi to visualize entire datasets at once.”
Photo Credit of visualization of E-Coli genomes
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