In Part 2 of their blog series, two featured contributors explore how AI Factories help organizations maximize their data potential and advance business priorities by using AI/machine learning.
Data is central to countless government modernization initiatives, whether it be the comprehensive overhaul of new agency data governance, feeding public-facing dashboards, or the training of an AI model. But nearly as important as data itself is the culture that surrounds it. That’s why it’s imperative for all government teams — not just IT teams… Read more »
Private sector technology has raised the public’s expectations for online customer service. Government must catch up. Good solutions call for personalization — and that requires data.
A commercial open source database management system empowers agencies to bring to bear the tools of zero trust across their mission-critical data estate.
You can’t have an AI strategy without a data strategy, says Matthew Rose of Snowflake. To be ready for AI, you need an ecosystem for data.
As agencies embark on data-driven journeys and begin embracing AI, it’s critical to understand their data networks and the gravity that agencies can create by identifying, mobilizing and harnessing more data into how they operate.
A GovLoop featured contributor offers seven predictions for government technology in 2024 and beyond.
Quantum computing offers great promise but also great risk, and current encryption standards are especially vulnerable to the quantum threat. There are actions that agencies can take today, however, to safeguard their systems.
Evidence-based policy can help state and local agencies identify and mitigate systemic harms to better serve their communities.
Improving public trust and engagement doesn’t happen by chance. It requires a strategy, a clear metric for success — more than click and open rates — and data to benchmark against.