The SAS Data Science Blog
Advanced analytics from SAS data scientists
The SAS Analytics 2015 Conference is coming soon. It is my first time attending, so when I discovered that the conference is in Las Vegas, I must admit I became more than a little excited to partake in some casual gambling. My thing is sports betting, specifically college football, and
I routinely speak with executives who tell me that the ability to “sell” analytical results is just as important as producing them. In this post I will share some of what I have learned in several years of presenting complicated analytical results to audiences, both technical and lay. Some of
The need for fast and easy access to high-powered analytics has never been greater than it is today. Fortunately, cloud processing still holds the promise of making analytics more transparent and ubiquitous than ever before. Yet, a significant number of challenges still exist that prevent more widespread adoption of cloud
Even though the first papers in machine learning were in the 1950s, one could argue it goes back further to the work of Alan Turing and other early computer scientists. So why has this way of modeling seemingly become so popular now? Because data has become a commodity. Large amounts of many different
I had the pleasure of speaking at the inaugural “Accounting IS Big Data” conference this past week in New York City, a meeting organized by the American Accounting Association. In addition to giving several talks, I participated in breakout sessions in which attendees discussed how analytics is used to monitor
I have been working on streaming analytics in conjunction with a project at Duke Energy, so a few months ago I was contacted by a colleague who wanted to look at the feasibility of applying what I’ve learned to our Internet of Things (IoT) initiative. In particular, we wanted to see if