Thought Leadership
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Grocery retail regulatory compliance is increasingly complex; AI can help
Food industry regulatory compliance has become more complicated, and the tools used by compliance teams are falling short. Agentic AI can save the day.
Proactive workforce planning: How to combat the institutional knowledge crisis
Elimination of senior IT staff has led to institutional knowledge loss, weakened site structures, and insufficiencies. These practices hurt companies as interim solutions and stop gaps can end up costing up to 3X more than retention impleme...
Predictive analytics in child welfare: Promise, peril, and the path forward
As the government shows major investments for predictive analytics in child welfare, the field now stands at a crossroads. The lessons of early adopters, cautionary legal tales, and emerging international models aid in charting a more respo...
The art of the ask: Mastering AI prompts for local government
Learn how you can use these AI prompt best practices to improve the effectiveness of AI in government.
How AI is redrawing leadership roles in government, faster than you think
AI-driven transformation and expansion into state government can bring new advantages but should also be managed carefully with an expert hand.
Workforce services of the future: Evolving data and technology needs
Ways to help your data-driven workforce modernize and prepare for impending change and future planning needs.
Time to modernize with AI in grant administration
Public agencies navigating the complicated nuances of federal funding can unlock new efficiency by using AI in grant management.
Identity crisis: Why credential theft has become the preferred attack vector
Identity management techniques are falling short in the face of credential stuffing attacks. Learn how you can protect your organization from credential compromise.
After the AI pilot, who keeps it running?
Many organizations will struggle with AI implementation challenges until they determine the “who” and “how” of AI lifecycle management.
Part 6: When the algorithm picks last and human bias kicks in
How AI bias mitigation strategies and modernized data governance can produce accurate and ethically responsible workflow systems.