Context Relevant ran a 120-server demo to automatically discover triangle area formulas
Stephen Purpura · Stephen Purpura, Context Relevant // Data Driven #26 // April 2014 (Hosted by FirstMark Capital) · May 27, 2014 · at 6:02
Stephen Purpura, CEO of Context Relevant, delivers a live demonstration of automated machine learning and distributed cloud infrastructure at Data Driven NYC.
0:00 / 0:14exact quote · 14.0s
▶ Watch the full episode on YouTube → 720p mp4 · rendered on demand · StarZero watermark
“I just started it, and what this is going to do is start up a 120 servers to analyze the, about a hundred million triangles to figure out what the generalizing equation is for calculating the area.”
quote is from the automated transcript, cleaned for reading: filler sounds and stutters are removed, nothing is rephrased. names can be misheard (the analysis reads context, assessments check outside sources). how →
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.”
Context Relevant positions its product to boost productivity, not replace data scientists
“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.”
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.”