The second event in the Digital Service Network’s summer event series, Let’s Get Digital, focused on the City of Boston’s transformative journey to streamline its procurement processes.
Public procurement in state governments can be slow and inefficient, but artificial intelligence (AI) offers a solution by automating tasks, improving decision-making, and addressing workforce gaps, as highlighted in a joint brief by NASCIO and NASPO.
National Association of State Chief Information Officers (NASCIO)
The Technology Code of Practice is a set of government guidelines for designing, building, and buying digital services and technology to ensure they are efficient, accessible, and cost-effective in the UK.
This profile provides a cross-sectoral profile of the AI Risk Management Framework specifically for Generative AI (GAI), outlining risks unique to or exacerbated by GAI and offering detailed guidance for organizations to govern, map, measure, and manage those risks responsibly.
National Institute of Standards and Technology (NIST)
A practical example showing how to estimate and structure firm-fixed-price costs for agile software development task orders using iteration-based pricing and performance metrics.
A visual journey map that outlines the end-to-end steps, roles, and decisions involved in procuring cloud migration support services for modernizing a legacy system.
This article examines how Chile’s SUSESO is balancing cost-focused procurement criteria with ethical AI concerns in its medical claims automation process.
Minnesota’s Medicaid Enterprise Systems (MES) Modernization Strategy is presented through a series of short videos released as part of the public RFI.
This report summarizes findings and observations on the implementation of Phase 1 of the U.S. Department of Labor’s Open UI Initiative, highlighting effective strategies, challenges, opportunities, and recommendations for supporting states’ UI modernization efforts.
