In my previous blog post, I introduced the “four pillars of trust” for automated decisions. The key takeaway was that explainability and transparency refer to the entire analytical process. But what about the “black box” of machine learning algorithms? Here, too, the analytical platform must guarantee transparency. The good news
When you were a kid, were you intrigued by the 99-cent X-ray glasses advertised in the back of the comic books? If you ordered those glasses, you were probably disappointed. Now that you're an adult, how would you like to use computer techniques to "X-ray" your data and look for
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
Data integration helps a successful business make things simple and quick for customers, and keeps them coming back. While a company will have data silos, data held within one area is made available to others in order to help the customer. In most local, county and state governments that is
New York City is a pioneer in use of technology in many ways. For instance, the work of the Mayor’s Office of Data Analytics has been cited repeatedly as an example of smart city innovation. But the innovation doesn’t stop there. Two projects that used SAS data visualization and data
Imagine you are attending the BCS National Championship game next month. You have invested top dollar in your seats and you have been anticipating the game for weeks. You settle in to your seat with your hot dog, soft pretzel, and your favorite beverage a few minutes before kick-off because
I recently met with five people who have been in state and local government for a combined total of over 100 years. It was a group that covered multiple areas of government including Health and Human Services, Courts and Corrections, Finance and Emergency Management. Everyone came to the table with
