When he got to Penn Med he set out to focus on Sepsis, an unfortunately leading cause of death for people who go to the hospital to fix something else. His data scientist efforts revolve around something called Penn Signals. "A nerd wonderland," says he. The point is to use evidence-based computing to see who is really really at risk. Right now!
Now, of course, in reality, he is doing what all the machine learning people are doing:
We have some early proof of concepts that have created new signals..that we are feeding back into our algorithms.
What is next?
I hope to move on from prediction to auto reasoning.
That is where his work with Intel comes in.
The company, which would like to fight disease just as much as it would like to sell chips that go into servers on Web farms, has concluded that big data development, where egg headed data scientists create models in Python etc., that must be thrown over the wall, and rejiggered in Java by 'real' developers, and then sent back to fix, and then back over the wall again etc., was just going to take too much time. Why not more of a cloud development paradigm? Based on open source? Tested by Intel and the like of Penn? It's called TAP, for Trusted Analytics Platform.
Says our man Draugelis:
My data scientists need an environment that they can build quickly, select their analytic tools at scale, and a platform that can support it. We have been excited to work with Intel to explore this new open source project called TAP.
As a colleague said, or more precisely asked: " What was the last big software announcement Intel made? And what came of it? And yes the answer is The Intel Hadoop Distribution and what came of it was a ceding of the work to Cloudera.So to coin a phrase: Time will tell. - Jack Vaughan
For more
Go to github to find out what it would be like to be a cloud developer these days.
Listen to a podcast where we talk with Intel's Vin Sharma about TAP
You see that embedded video above, this here is the linke to it, like actually.
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