Bring AI to the Edge
Most people think modeling is the hardest part of artificial intelligence. But really, the most obstinate AI barrier isn’t code or sampling.
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.
Accumulation of data is common for any organization — especially those in state and local governments. Learn how San Francisco tackles its data science.
Storytelling is part of a successful data science project. Learn why you should care about storytelling in data science and how to tell your stories.