Context Relevant positions its product to boost productivity, not replace data scientists
Stephen Purpura · Stephen Purpura, Context Relevant // Data Driven #26 // April 2014 (Hosted by FirstMark Capital) · May 27, 2014 · at 21:12
Stephen Purpura is the CEO of Context Relevant, an automated machine learning startup. He responds to an audience question about the limits of automated data analysis tools.
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“And so, we actually do not sell our technology as a complete replacement for data scientists. We encourage you to think of it as a huge productivity game.”
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More from Stephen Purpura
Context Relevant analyzes millions of ML models while competitors analyze just one
“And then another part of our company is the data science group, which has optimized, ah, a pipeline to run on top of that infrastructure, so, such that you can do analysis of millions of models in the time that it takes to, most companies to frankly do one.”
Stephen Purpura claims Context Relevant derives mathematical formulas from data in seconds
“And now our software does this automatically from data in a few seconds.”
Stephen Purpura argues 90-percent accurate predictive models suffice for commercial monetization
“You know, you can make money with a 90% answer. You know, especially on large, on thing, on problems where there's a large data volume.”
Stephen Purpura says automated ML is a generational leap lacking full autonomy
“The technology is not at the phase yet where it's completely automated and can be used by anyone, but it's certainly made a major generational leap over where, when I was training graduate students at Cornell only a few years ago.”