Leverage Resources for Transformations With Impact
Most state and local governments struggle with limited resources. When considering digital transformation, they must weigh both service improvement and cost savings.
Most state and local governments struggle with limited resources. When considering digital transformation, they must weigh both service improvement and cost savings.
Network security needs to be built in from the ground up during project development. Here’s advice for choosing the right tools.
The 2023 Government AI Readiness Index evaluates and ranks the readiness of governments worldwide for the implementation and integration of artificial intelligence (AI) in public services. Here’s a focused summary of the report.
We don’t know what the next technology innovation will look like, or what specific benefits it will bring to government agencies, but we can say with some confidence that it will probably depend on high-quality government data.
From learning to trust how artificial intelligence (AI) will handle data and provide insights to implementing zero-trust architectures for cybersecurity to building citizen trust with better customer service, agencies are more focused than ever on delivering trust as part of their services.
Whether your agency is eager or hesitant to adopt AI, the technology is here. And you can get started safely.
The allure of building your own generative AI applications may be irresistible — but it’s not as straightforward as it seems.
AI-powered automation is transforming various aspects of government operations, IT, and application delivery. Government agencies are using AI-powered automation to help with mission delivery, to build resilience, to upskill employees, and enhance trust in government.
Any use of AI or automation in government, particularly as it relates to benefit determinations or claims, needs to be accompanied by policy guardrails that create strong disincentives for improper denials of claims for benefits.
Vendors offer a bewildering array of GenAI solutions, all of which seem very similar. Some agencies have paused on evaluations to foster consensus, but the question remains: How can government agencies determine whether it is possible to deploy an effective GenAI solution today?
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