The release of AI foundation models allows organizations to take advantage of broader community investments in AI. But there’s a catch: Agencies need to tweak and train these models to meet their specific objectives, maintain privacy and ensure regulatory compliance.
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 »
Embracing data-driven decision-making in government isn’t just a smart choice — it’s a strategic imperative that ensures accuracy, accountability, and transparency in public service delivery.
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.
Discover how enterprise technology can evolve from tactical AI use to strategic success, using the AI factory model. Learn how to overcome data-quality and other obstacles, and explore tips for better collaboration and outcomes.
While the Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence focused attention on AI, it also brought the biotech conversation to the forefront for all government entities.
Curious about how your agency can stay ahead in a rapidly changing world? Check out these fresh ideas on how to future-proof your organization.
Qualitative and quantitative data serve distinct purposes and work best when considered together.
Initiating an equity strategy in Tucson would require cross-departmental collaboration and deep public engagement. The new chief equity officer had to make a nuanced and complicated topic — equity — approachable and easy to understand. By establishing an authoritative source of data, the Office of Equity created a strategic way to understand vulnerable communities.
AI-powered knowledge graphs can enhance interagency collaboration by mapping and visualizing relationships between diverse data sources.