Agentic AI offers capabilities beyond what earlier AI can do. But agentic AI’s autonomous nature amplifies an organization’s underlying data, governance and other weaknesses and requires a new IT mindset.
Artificial intelligence (AI) can be a significant time-saver at work, but there are drawbacks when using the technology to help write work-related emails.
In this video interview, Snowflake’s Adam Edelman explains how a unified data stack solves challenges and delivers on the promise of AI.
AI is no longer constrained by innovation; it is constrained by infrastructure, energy, and compute availability. As demand accelerates, leaders must shift from focusing on applications to designing resilient, scalable systems that enable sustained advantage. The future will be defined by who can power, govern, and scale AI effectively.
When AI systems process government information, they can’t always tell if a policy is current or even if it’s official. Structure provides the clues.
Agentic AI has the potential to transform how government responds to constituent needs — but state and local officials aren’t getting caught in the hype. Hear how Tennessee’s CIO explains her state’s careful, responsible path to incorporating agentic AI into state systems.
An AI system recently admitted to a featured contributor that it “flows downstream on a river of human bias” and rarely gets corrected. That should change how leaders use these tools. If you rely on AI for decisions, learn three practical ways to push back on AI bias and redirect the current.
AI is reshaping decision-making across government, creating hybrid human-AI decision teams that combine machine speed and pattern recognition with human judgment, accountability, and context. Such collaboration can deliver faster and more effective mission outcomes, risk detection, and other benefits.
In this video interview, Roth and Ryan Alcorn, Principal, AI Strategy at Euna Solutions, discuss how agencies can better manage the full grant lifecycle.
As AI increasingly becomes an intermediary between government organizations and the public, the structure of information begins to matter as much as the content itself. It is not a shift in messaging — it is a shift in how data is read.