Ensuring that you implement artificial intelligence into your mission in a responsible manner can be a daunting task. While there is no silver bullet, being aware of the trade-offs empowers leaders to navigate the grey in a way that aligns with the values of the organization.
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.
Between policy, guidelines, past experience and data, getting the answer to simple questions is a significant drain on precious time and resources. Can AI help?
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.
Automation speeds up service delivery while reducing human error, helping governments protect sensitive information while completing their missions.
Advanced AI solutions require robust data pipelines to transform raw data into business value. Here’s how.
Successful AI adoption requires forethought and preparation. Although AI itself requires a culture open to experimentation and learning from mistakes, when it comes to ethics, risk, and compliance, you can’t simply wing it.
In the next few years, the digital workplace should be an organizational priority, as the workplace transformation is the key to longevity.
Developing AI talent: a checklist and resources you can use now.
The federal IT pro of the very near future will be tasked with finding ways to use new technologies to enhance efficiency, modernize processes, and drive further digital transformation.