AI Agents Help Agencies Improve Decision-Making, Customer Satisfaction and Efficiency
In this video interview, Anish Patel, Head of Federal Sales at Cloudflare, explains how agentic AI makes operations more efficient and comprehensive.
Posts Tagged: agentic AI
The AI-Driven Tools That Transform Service Delivery and Workflow Efficiency
In this video interview, Luke Norris with Granicus discusses how agencies can deploy new AI technology to enhance service delivery and internal operations.
AI, Agentic AI: Adopt or Adapt?
AI and agentic AI are continuing to expand in the workforce. Are we adapting, adopting, or both?
Dispatches From the AI Cyber Arms Race
Artificial intelligence is influencing every step of the cyber defense life cycle. Here’s an overview of some AI possibilities, including emerging roles for generative and agentic AI.
Maybe We Shouldn’t Call Them AI “Agents”
Sometimes, terminology matters. The term “AI agents” can be problematic in government. Beware of connotations when speaking of agentic services.
Collapsing the Stack: Formulas for Smarter, Faster, AI-Enabled Operations
Learn how agentic AI can collapse traditional software development and business process stacks, streamline workflows, and boost efficiency.
Agentic AI Workforce Readiness: Why Every American Worker Needs to Be Ready Now
Agentic AI has the potential to greatly increase productivity, save taxpayer funds and reshape our economy. But to realize those possibilities, employees must develop agentic AI skills — today.
Agentic AI: A Quick Look Under the Covers
Agentic AI is actually a complex system of AI agents. Here’s insight into what that means, how agentic AI differs from other types of artificial intelligence, and what different types of AI agents do.
Agentic AI: Marketing Hype or Reality?
Agentic AI is new technology getting lots of attention. But can it do everything people say it can?
Agentic AI Transforms O&M
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.