AWS Public Sector Blog

David Sperry

Author: David Sperry

David Sperry is an AI Success Engineer at OpenAI, where he helps government organizations adopt and operationalize AI. He works with public-sector leaders to turn OpenAI’s capabilities into practical solutions that drive mission outcomes.

Get started with OpenAI GPT-5.4 on Amazon Bedrock in AWS GovCloud (US)

Get started with OpenAI GPT-5.4 on Amazon Bedrock in AWS GovCloud (US)

In this post, you’ll learn how to build an identity incident review workflow that analyzes an event timeline, converts the findings into a strict incident record, and connects the review to a local account-control lookup. The examples separate observed facts from inferences and keep final incident and remediation decisions with a human reviewer.

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Working backwards from generative AI business value in the public sector

Generative artificial intelligence (AI) has captured the imagination of organizations across industries, promising to revolutionize workflows and drive innovation. As public sector entities explore this transformative technology, a critical challenge emerges: identifying and prioritizing high-value use cases that align with specific business objectives and delivering measurable outcomes. In this post, we present an Amazon Web Services (AWS) framework to help public sector organizations navigate generative AI adoption and unlock its true potential.

AWS branded background design with text overlay that says "Operationalizing cloud adoption with the AWS Cloud Maturity Assessment"

Operationalizing cloud adoption with the AWS Cloud Maturity Assessment

The Amazon Web Services (AWS) Cloud Maturity Assessment (CMA) uses the AWS Cloud Adoption Framework (AWS CAF) to assess the maturity of your cloud adoption, and provide prescriptive guidance on prioritized next steps. By replacing guesswork with data-driven analysis, you will get a blueprint to prioritize, build, and mature your cloud capabilities. Read this post to learn more.