SAS Voices
News and views from the people who make SAS a great place to work
Are you caught up in the machine learning forecasting frenzy? Is it reality or more hype? There's been a lot of hype about using machine learning for forecasting. And rightfully so, given the advancements in data collection, storage, and processing along with technology improvements, such as super computers and more powerful
Deep learning made the headlines when the UK’s AlphaGo team beat Lee Sedol, holder of 18 international titles, in the Go board game. Go is more complex than other games, such as Chess, where machines have previously crushed famous players. The number of potential moves explodes exponentially so it wasn’t
Artificial intelligence. Big data. Cognitive computing. These buzzwords are the ABCs of today’s marketplace. In a recent interview at SAS® Global Forum, I discussed the unprecedented pace of change that we’re seeing in the market. It’s creating what I like to call an analytics economy. In this economy, analytics –
The forecast is frightening: Robots will take over all manual labor and self-generating code will automatically spin out the algorithms once developed by statisticians and programmers. Humans will become obsolete. What will mere mortals do all day long? Ride captive as our self-driving cars take us on a sentimental journey
When a busy university analytics team is tasked with creating a new, interactive way to share data with dozens of different constituents, data visualization from SAS is the obvious answer. The University of Idaho’s office of Institutional Effectiveness and Accreditation is the source for comprehensive information, analyses and university statistics.
What do you get when you combine analytics, aviation and the Internet of Things? A learning experience that leaves everyone flying high! At Data on the Fly, 25 area high school students had the opportunity to learn how technology has changed – and continues to change – the aviation industry.