The high costs associated with implementing advanced AI technology are often a significant barrier for agencies looking to adopt such tools. But certain cost-effective strategies — including upskilling, shared AI resources, and efficient tools — can help agencies dramatically reduce development costs.
New AI technology available to the federal government is creating new opportunities for efficiency across agencies. However, many federal employees lack the skills required to manage and innovate with AI tools, creating a skills gap that could challenge the government’s ability to fully utilize AI capabilities to streamline government services. By implementing a centralized AI… Read more »
Adopting AI will enhance operational efficiency and public service. But it will require significant policy changes across U.S. federal agencies to ensure it’s responsibly and ethically implemented.
How should federal agencies plan for AI technology? To fully harness the power of AI, federal agencies should create a clear AI roadmap outlining their goals, timelines, and key milestones. This roadmap should be flexible, allowing for adjustments as new technologies emerge and federal priorities shift.
AI-powered knowledge graphs can enhance interagency collaboration by mapping and visualizing relationships between diverse data sources.
Adapting to recent trends in AI and cybersecurity involves a strong change management approach. Here are some techniques that help.
Vendors offer a bewildering array of GenAI solutions, all of which seem very similar. Some agencies have paused on evaluations to foster consensus, but the question remains: How can government agencies determine whether it is possible to deploy an effective GenAI solution today?
Blanket bans or prohibitions against government agency use of generative AI won’t work. The recent Executive Order on AI takes a much more effective approach to guiding agencies on the proper way to adopt this new technology.
As video cameras become even more ubiquitous, video analytics will be one of the front faces of AI.
Developing AI talent: a checklist and resources you can use now.