AI In Government Starts With Trust in Data, But Is Built With People
AI is embedded in government operations, and agencies need a proactive approach to data governance in order to mitigate risk — and foster trust.
AI is embedded in government operations, and agencies need a proactive approach to data governance in order to mitigate risk — and foster trust.
Meetings are a window into your organization’s culture. How do you make them matter? Here are some tips on making your meetings culture-changers!
Teams may feel fortunate to still have jobs after major cuts, but that fades. Real leadership starts after the layoffs, when the culture feels stretched thin.
Recent fraud regulations are creating a powerful catalyst for transformation. Agencies can leverage these changes to modernize policy and processes.
The evolution of AI coding tools has raised the prospect of “disposable software” that would reduce the need for expensive, long-term maintenance. But although appealing, this paradigm shift would be challenging for government to implement. A SpecOps approach, though, may solve the problem.
As fraud risks accelerate across public programs, recent directives and enforcement actions signal a decisive shift from compliance-driven oversight to executive-level accountability. This article outlines what local, state, and federal leaders must understand about evolving fraud expectations, enforcement priorities, and governance responsibilities — and why fraud resilience is now a leadership discipline. It concludes with… Read more »
As ADA deadlines approach, many local governments are taking the lead on digital accessibility. From community outreach to public-private partnerships, early adopters show how accessible websites and apps can build resident trust, improve engagement, and deliver better digital services for everyone — regardless of ability.
New federal requirements will challenge state benefit systems that rely on paper-based, manual systems to verify week-to-week eligibility. A modern, automated alternative — supported by well-trained employees — offers a scalable, low‑burden alternative.
Upgrading an existing data center for AI/ML needs can be done, but there are many factors to consider.
Updated federal regulations, geopolitical activity, the expansion of AI, and other developments will make this a big year for cybersecurity. Here are six outcomes we can anticipate.