If you’re familiar with the SAS story, you know that we have deep roots in academia. But our CEO Jim Goodnight has always known that roots aren’t enough to achieve incremental growth. You also have to plant seeds. Analytics alone can’t drive change, help businesses succeed and make the world
We live in exciting times. Our relationships with machines, objects and things are quickly changing. Since mankind lived in caves, we have pushed our will into passive tools with our hands and our voices. Our mice and our keyboards do exactly as we tell them to, and devices like the
I'm sure I'm not the only one who has read and contributed to threads on the internet about all the different languages used for data mining. But one aspect that's been left out of most of these comparisons is that SAS is more than a 4th generation programming language (4GL).
Let me start by posing a question: "Are you forecasting at the edge to anticipate what consumers want or need before they know it?" Not just forecasting based on past demand behavior, but using real-time information as it is streaming in from connected devices on the Internet of Things (IoT).
The role of analytics in combating terrorism Earlier this spring, I found myself walking through a quiet and peaceful grove of spruce trees south of the small hamlet of Foy outside of Bastogne, Belgium. On travel in Europe, I happened to have some extra time before heading to London. I
Utilities can save as much as $10 million a year for every one percent improvement in forecast accuracy by optimizing asset utilization and trading strategies. Changing energy markets and an influx of data from the smart grid are providing more opportunities to reap value from energy forecasting. Improving energy forecasts
In a recent Computerworld feature, Deanna Wise, Executive Vice President and CIO of Dignity Health, encouraged forward-thinking CIOs to develop partnerships within their organizations to drive better customer experiences that translate into revenue. Wise has a strong record of doing just that, collaborating with SAS to implement advanced analytics throughout
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
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
