Data-Driven Decision-Making Gets Real
To make evidence-based policy, takes more than information–it requires the ability to turn information into knowledge and to base decisions on it.
To make evidence-based policy, takes more than information–it requires the ability to turn information into knowledge and to base decisions on it.
In the current data-driven landscape, business leaders across government need to be involved in using data. They need at least a working knowledge of the tools of data science and the ways data scientists generate their insights.
Most people think modeling is the hardest part of artificial intelligence. But really, the most obstinate AI barrier isn’t code or sampling.
When there is no shortage of data, how do you get from massive data to mission success?
When you’re looking for new ways to solve tough problems, a hackathon might be your answer.
What would be possible if your organization could predict future occurrences? A new generation of advanced analytics—high-level diagnostic, predictive, and prescriptive—can now provide that opportunity.
The role of a data analyst is evolving in the era of emerging artificial intelligence (AI). So much so, we might need to relabel this role as Analyst 2.0. Here’s a look at what Analyst 2.0 means for the next-gen data guru helping organizations use data for better decision-making.
It’s been 20 years since the Global Positioning System (GPS) changed the game for civil, military and intelligence communications. Today, the secret sauce in GPS-enabled solutions is Positioning, Navigation, and Timing (PNT) information.
Developing AI talent: a checklist and resources you can use now.
The sooner organizations embrace change and ready their staff for adoption, the sooner they can realize AI’s benefits. So, what’s the hold-up? In a word, culture. Changing the underlying principles of an organization takes time and serious effort.