How comfortable are you with hard decisions? If it affected you, how comfortable would you be with losing your agency and having someone else make the decision for you? What if that decision isn’t made by a person but a machine? More than abstract questions, these are going to become
While the growth of big data is an issue that preoccupies both the public and private sector, it’s also high on the UK government’s legislative agenda. All eyes are currently on the authorities, as we wait with bated breath to see what’s next in the quest to manage data escalation.
With the recent changes to federal education policy, I wanted to learn more about those changes and the impacts they'll have on P-12 education across the U.S. So, I decided to interview Emily Baranello, Vice President SAS Education Practice and Susan Gates, SAS Special Advisor on Education. Here's part one
In 2012, the value of big data equity in the UK was estimated at £12 billion a year or 0.7 percent of the annual Gross Domestic Product (GDP). Four years flew by and the second report by the Centre for Economics and Business Research (Cebr) puts the opportunity at £46
Machine learning is not new. SAS has been doing it for over 20 years and some early machine learning papers date back to the 50’s. So why is it one of the hottest topics at the Strata Hadoop World conference later this week? Clearly, Hadoop is playing a major role
As the federal government’s ability to collect personally identifiable information has increased drastically in recent years, so have attacks targeting that information. Insider threats are of particular concern, according to the Government Accountability Office's 2015 bi-annual High Risk Report. The GAO specifically states, “Risks to cyber assets can originate from
A few years ago, in the height of my workaholism, I took up a hobby. I go to sketchy neighborhoods around L.A. and hang out with dogs I don’t know. I have a long history of adopting and fostering shelter dogs, often getting them out on their “euth dates.” With
One of my colleagues often asks me “What’s new in insurance”. For an industry that is risk adverse, change does not come easily. In the past we have discussed innovations concerning telematics, drones, wearables devices and even weather data. However when he asked me last week and I responded that
Lately there seems to be a surge in the term machine learning. Much like big data a few years ago, machine learning is the new buzzword -- and the two terms actually go hand in hand. With increasing volumes of data now stored in distributed environments such as Hadoop, it's
If a picture is worth a thousand words, then visualizing data in Hadoop would be like a billion. Over the last few years, organizations have rushed to leverage the low-cost distributed computing and storage power of Hadoop clusters. As Hadoop environments mature and move away from their initial focus of
