Removing Friction, Driving Results: The Path to a More Agile Government
During a recent webinar, experts shared a common message: modernization is about removing barriers that prevents agencies from doing their best work.
During a recent webinar, experts shared a common message: modernization is about removing barriers that prevents agencies from doing their best work.
Improper payments siphon billions from essential services. The response has been retrospective, but AI-fueled threats now demand proactive strategies.
Leaders are under pressure to move faster, but their data isn’t keeping up. This article breaks down how leaders can fix that. If you lead in a high‑tempo environment, this one’s worth reading.
None of us wants our personal data exposed; think how closely we guard our Social Security numbers. But the privacy and confidentiality rules that protect our data often are complicated and wide-ranging. They include large-scale regulatory frameworks, such as the Health Insurance Portability and Accountability Act (HIPAA), plus industry-specific rules and internal policies. Although oftenRead… Read more »
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.
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 embedded in government operations, and agencies need a proactive approach to data governance in order to mitigate risk — and foster trust.
Given the amount of data that we now generate, the term “Big Data” seems to be an insufficient description, especially since AI needs so much of it.
Agencies are using data to improve outcomes. Learn how St. Petersburg, Florida’s police department used data mapping to help fight crime.
AI systems have become a source of truth for many constituents, but public-sector communication often is poorly designed for AI use and citation. Agencies may need to think about both human and AI audiences.