We like to think of analytics as a logical discipline, where investment decisions are consistently rational and predictable. Not so. Customer organisations are driven by all the usual complex and sometimes contradictory forces. Business users want analytics to help them make good customer facing decisions as quickly as possible, while
The Obama administration made great strides in improving the government’s use of information technology over the past eight years, and now it's up to the Trump administration to expand upon it. Let’s look at five possible Trump administration initiatives that can take government’s use of information technology to the next
There aren’t many things that keep me awake at night but let me share a recent example with you. I’ve been grappling with how to help a local SAS team respond to a customer’s request for a “generic enterprise analytics architecture.” As background, this customer organization had recently embarked on
DevOps is enjoying a lot of attention at the moment, mostly because of its promise to increase software quality at lower cost. DevOps is a hybrid term linking development and operations. It's a philosophy that focuses on improving efficiencies in how we build and deliver software, solutions and the supporting environments.
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
