SAS Voices
News and views from the people who make SAS a great place to work
Do you remember the 90s? It seemed like every company and organization had some sort of strategic plan that had “2000” in its title. And they were all going to achieve and exceed these Year 2000 goals … if their systems didn’t crash at 12:00:01 on January 1, 2000! So
Manufacturers are used to operating in challenging circumstances – whether financial, economic, political or competitive. And it's a good thing since the coming years seem likely to be as uncertain as those following the global economic crash. But manufacturing will have an excellent opportunity to thrive because, like many sectors,
Machine learning is a type of artificial intelligence that uses algorithms to iteratively learn from data and finds hidden insights in data without being explicitly programmed where to look or how to find the answer. Here at SAS, we hear questions every day about machine learning: what it is, how it compares to
Some would say that it's impossible for blind users to see charts and graphs. Those same people might have once said it was impossible for the visually impaired to see the particles that comprise an atom, or galaxies that are billions of light years away. Innovation would prove them wrong
I’ve always loved watching crime series or films – from Homeland and True Detective to Sherlock Holmes. But after years of building software products and solutions designed to help security and law enforcement agencies solve crimes, I've noticed there are several clichés that need to be conquered by technology. No.
Are you struggling to hire talented data scientists to glean insights from your corporate data? There’s currently a lack of big data talent hampering corporate analytics and causing nightmares for CIO’s, but I have good news for you: You may already have all the data scientists you need! There are