This month, the Defense Logistics Agency (DLA) released a foundational data and analytics document that will direct data governance, acquisition strategies and the incorporation of emerging technologies for the military’s combat logistics branch.
Agencies will struggle to adopt artificial intelligence (AI) if they don’t consider how it will impact their employees, according to two federal officials.
AI systems are igniting new opportunities across industries, but you must start your AI journey by building a technical infrastructure that will support it.
AI solutions drive informed human capital management, using data-driven insights to put employees in situations where they can succeed.
Every project that results in the construction of a building that is not a “smart” is a project in which money savings has been lost, unnecessary natural resources have been consumed, and social improvements have not been delivered to citizens.
Artificial intelligence (AI) often works by magic. While seemingly nobody knows how it operates, people are amazed and inspired by the successes that AI has achieved.
We’ve gone far and wide to provide you with perspectives on the possibility and promise of AI applied to government services, but today I’d like to talk about where we are today and what I hope the future holds for a technology that in many ways is still in its infancy.
The use of AI and open data holds great potential for communicating important information to residents.
There are three impactful ways that RPA can materially improve the work life of the federal worker.
Rapid prototyping is a process that quickly develops, experiments with, and learns how software technologies might further prove that a concept is advantageous for a mission, business, or user. It is about accepting and embracing an uncertain world that rapidly evolves – and for software systems to rapidly evolve with it.