How to Remove the Barriers to Safe and Responsible AI Adoption
In this video interview, Styrk AI’s Anhad Singh, joined by researcher and author Dr. Donnie Wendt, discuss key issues that agencies must address to ensure safe and responsible AI.
Artificial Intelligence
The Silent Risk in Government AI — Shadow Models Are Already at Work
Shadow AI is already at work. But leaders can turn hidden risk into innovation by launching AI amnesty programs andcentral model registries.
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.
Use Cyber Data to Supercharge Your Defenses and Bring AI to Your Data, Anywhere
In this video interview, Cloudera’s Carolyn Duby discusses how agencies can bring better discipline to managing their cyber data and using it to strengthen their defenses.
Driving Operational Excellence with Generative AI: An Artifact‑Centered Approach
GenAI can be a powerful driver of operational excellence, but only when it operates within a disciplined, artifact‑centered framework.
Succession Planning: Can AI Help?
Agencies may be concerned on knowledge loss as employees retire or seek other opportunities. AI can help.
Are We Outsourcing Our Intelligence to AI?
Worried AI will make us dumber? Socrates had the same fear — about writing. Spoiler: We turned out fine. Is it time to reframe the AI debate?
Increased AI Use Drives Need for Data Literacy
AI is making it easier to utilize all of the data government agencies hold. Data literacy is becoming a critical component of success.
Strengthening Data Resiliency in Federal Government Agencies
In this video interview, Commvault’s Richard Breakiron discusses data resiliency and explains how agencies can develop a clear understanding of their data assets and leverage automation and AI to derive insights.
How to Support AI Through Better Data Governance
Better data quality translates into better AI models. Here are some areas where agencies should focus their governance efforts.