Companies that demand immediate technical results often don’t want to take the time to develop a data strategy up front, but it will actually accelerate business value for your company. In this post, I’ll describe how these components fit together and work to bring you business value quickly.
A previous blog post made the point that classifiers shouldn’t use classification accuracy as a performance metric. The next part in this series was going to discuss other evaluation techniques such as ROC curves, profit curves, and lift curves. However, there are several important points to be made first. Here I present a sequence that shows the progression and inter-relation of the issues.
If you feel ready to start building your own Experimental Enterprise, these are some questions you need to ask of your organization, and traps you need to avoid.
Our audience of engineers got right into the guts of Spark’s GraySort benchmark win last year with Chris Fregly from IBM Spark Technology Center. Here are a few highlights from the meetup.
This article highlights 12 initiatives centered on big data and analytics, which leading shopping mall, retail, and hospitality companies are pursuing as part of their digital transformation.
We know that digitization is a disruptive force that can help your company stand out from the competition. It needs to be a priority, but where should you start?
Data products are the reason data scientists are lately treated like rockstars. Along the way at SVDS, we’ve learned a few things about data products, which we shared as we told the story of the Caltrain Rider app.
This article is the first in a series that I will be posting on the topic of thinking about data as an intangible asset, and how to value it as such.
We’re pleased to announce some wonderful news this morning: SVDS is opening our second office, in Chicago!