Agentic AI is a breakthrough technology that brings true autonomy to artificial intelligence. Unlike conventional AI, which follows fixed algorithms and predefined tasks within static parameters, agentic AI senses its environment, learns from real-time data, and makes independent decisions that align with strategic goals.
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 »
Federal agencies are focusing on technology-driven supply chain resilience to secure continuous service delivery, mitigate risks from global interdependencies, and ensure cybersecurity, data-driven insights, and cross-sector collaboration, strengthening their infrastructure against disruptions and vulnerabilities.
By building public trust through data privacy and protection, government agencies are leveraging advanced technologies and ethical frameworks to secure sensitive information and ensure responsible data management in the digital age.
The upcoming change in administration presents both opportunities to modernize cybersecurity and AI governance in government operations and risks of heightened vulnerabilities, requiring strategic action and vigilance.
In 2022, the State Department updated its criteria for evaluating U.S. Foreign Service employees’ performance to reflect data’s growing usefulness — in all aspects of department work.
The AI factory process now includes two new ways, or MVPs, that demonstrate the product’s value to a user.
Even as agencies focus on short-term AI projects, they can start thinking about more strategic objectives, says Snowflake’s Winston Change.
Experts agree that generative AI (GenAI) can have a significant impact on how government handles cybersecurity. Here are some of the technology’s potential security benefits.
Processing data locally speeds up the time for decision making. Edge data can better support mission context and relevance. But distributed data brings with it new challenges. Here’s how to meet them.