To help you assess whether AI would fit your organization’s needs and requirements, we’re clarifying some of the misconceptions about AI and offering a plan to help you reap and share the benefits of this powerful machine-learning technology.
Autonomous vehicles are much closer to hitting the market than many realize, but while manufacturers and technologists try to fine-tune the machines, governments are fine-printing the regulations that will legislate the automobiles of the future.
Whether you live in a small town or large metropolis, you might be noticing profound changes in the way you interact with local government. Cities around the world – from San Francisco to Singapore and many in between – are leveraging emerging technologies to deploy smart, connected cities.
There’s no doubt that the future will be augmented by AI, and organizations and society will benefit. Implementation is happening slowly — as it should. While AI offers promise, it’s not an endeavor to undertake without preparation.
Data cleaning and thorough analysis is a necessary part of government functions, but now there are tools to streamline the process and jumpstart solutions.
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.
VA has embarked on a mission to modernization, which has been advanced by thinking outside of the box and outside of VA headquarters.
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.