“And the weather yesterday was a sunny 18oC with warm spells in the south and showers in the north. This is similar to the pattern we saw last Thursday.” Imagine if the weather forecast only restated what happened in the past -- would we bother waiting until the end of
Machine learning is moving into the mainstream. Once the sole purview of academic researchers and advanced technology firms, machine learning is now being is used by many companies in more traditional industry verticals. Machine learning uses mathematical (not necessarily statistical) models to learn about data. In this context, learning about
It’s been very hot here in Northern Italy: electricity provision has struggled to keep up and we’ve had frequent power outages in the area, even within our apartment building. A bit inconvenient? Don’t get me started. I feel like my home appliances have turned against me, taking me back to
There is no doubt that analytics is an overused and often abused term. So what does really analytics means? In part 2 of a series of articles on the analytical lifecycle, this blog will highlight some of the common and emerging techniques used to analyze data and build predictive models
After sporting events or major elections like the recent U.S. mid-term Senate elections, I tend to look back at how various predictions performed prior to these events, to find out who got it right. My interest in this was spawned after reading Nate Silver’s book The Signal and the Noise,
It has become clear after speaking with numerous health insurance carriers, both in the United States and beyond, as well as at conferences (such as NHCAA), that there is a mass movement towards the nirvana that is "predictive modeling." Now that our industry is realizing the importance of predictive modeling
SAS customers are both bright and generous. Recently, I met several who gathered to discuss SAS Enterprise Miner and SAS Model Manager predictive analytics and data mining software. Hiring the best I loved listening to their discussion on what they look for and how they find the people who will
I've recently had the chance to work with Olivia Parr-Rud, an internationally recognized expert and thought leader in predictive analytics and innovative leadership. Her pioneering techniques in predictive modeling led to the writing of her first book, Data Mining Cookbook, Modeling for Acquisition, Risk and Customer Relationship Management (Wiley 2001). Olivia's passion
There are many things that I enjoy in life, but cooking and analytics are two of the things that excite me the most. In my free time, one of my favorite things to do is experiment in the kitchen to try to come up with something new and different to
Tapan and I had the chance to talk with Karen Washburn, Manager for the SAS Business Knowledge Series, a SAS Education Division program, who is joining us at Predictive Analytics World this week! Karen will be participating in the conference and seeking out new partners to join the Business Knowledge
