New trends in sharing data science work
Danny Bickson writes:
I got the following venturebeat article from my colleague Carlos Guestrin.
It seems there is an interesting trend of allowing data scientists to share their work: Imagine if a company’s three highly valued data scientists can happily work together without duplicating each other’s efforts and can easily call up the ingredients and results of each other’s previous work.
That day has come. As the data scientist arms race continues, data scientists might want to join forces. Crazy idea, right? Two San Francisco startups — Domino Data Lab and Sense — have emerged recently with software to let data scientists collaborate on multiple projects. In a way, it’s like code storehouse GitHub for the data science world. A Montreal startup named Plot.ly has been talking about the same themes, but it brings a more social twist. Another startup, Mode Analytics, is building software for data analysts to ask questions of data without duplicating previous efforts. And at least one more mature software vendor, Alpine Data Labs, has been adding features to help many colleagues in a company apply algorithms to code on one central hub.
If you aren’t already registered for GraphLab Conference 2014, notice that Alpine Data Labs, Domino Data Labs, Mode Analytics, Plot.ly, and, Sense will all be at the GraphLab Conference.
Go ahead, register for the GraphLab conference. At the very worst you will learn something. If you socialize a little bit, you will meet some of the brightest graph people on the planet.
Plus, when the history of “sharing” in data science is written, you will have attended one of the early conferences on sharing code for data science. After years of hoarding data (where you now see open data) and beginning to see code sharing, data science is developing a different model.
And you were there to cheer them on!