AWS Public Sector Blog

Category: Amazon Bedrock

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Improving constituent experience using AWS-powered generative AI chatbots

Generative artificial intelligence (AI) can transform the experience of state and local government constituents. With Amazon Lex, you can design and build sophisticated voice and text conversational interfaces, deploy omnichannel experiences with pre-built integrations to contact center solutions, and pay only for speech and text requests with no upfront costs or minimum fees. This post provides a technical walkthrough for building a generative AI chat-based solution.

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Generative AI as a force for good in facilitating cyber-resiliency in public sector organizations

The­ Digital Transformation Hub (DxHub) at California Polytechnic State University (Cal Poly) in San Luis Obispo – powered by Amazon Web Services (AWS) and part of the AWS Cloud Innovation Centers (CIC) program – collaborated with the City of San Diego and the San Diego Cyber Center of Excellence (CCOE) to create ‘My eCISO,’ a generative artificial intelligence (AI)-based application that propels public and private organizations on a path to cyber resiliency. This post explores the technology behind My eCISO and its implications for organizations looking to protect against attacks.

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HolonIQ improves decision-making for executives with Amazon OpenSearch Service, Amazon Bedrock

HolonIQ is a global education intelligence platform that has partnered with Amazon Web Services (AWS) to transform how governments, institutions, and companies access and utilize critical information. By harnessing artificial intelligence (AI) and natural language processing (NLP) technologies, HolonIQ is empowering decision makers in the education, climate tech, and health sectors with instant access to comprehensive, trustworthy data and research. Read this post to learn more.

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Japan’s Digital Agency accelerates government cloud migration with AWS generative AI–powered architecture reviews

In September 2021, Japan took a leap with the establishment of its Digital Agency and the creation of the government cloud. With the goal to build a society in which no one is left behind by improving convenience, health, and happiness through digital technology, Japan’s Digital Agency represents the nation’s bold commitment to digital innovation across government and society. In June 2024, two cloud engineers from the Digital Agency, Kazuma Takeda and Shinichi Nishihata, shared their process and learnings at the Amazon Web Services (AWS) Summit Japan, the largest AWS learning event in the country. For those who were unable to attend or watch virtually, this post summarizes their presentation.

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Médica Panamericana revolutionizes medical exam prep with AWS generative AI

Editorial Médica Panamericana is a leading biomedical publisher with more than 2,500 titles across 23 Spanish-speaking countries. Their 25,000-plus authors have developed trusted and world-class content for more than 70 years. Médica Panamericana, in partnership with BinPar, is constantly innovating to provide its readers the best possible experience. For example, Médica Panamericana recently applied generative artificial intelligence (AI) from Amazon Web Services (AWS) to its exam preparation resource, PROMIR. Read this post to learn more.

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National framework for AI assurance in Australian government: Guidance when building with AWS AI/ML solutions

As Australia moves forward with a national framework for the assurance of artificial intelligence (AI) in government, Amazon Web Services (AWS) is committed to helping our customers implement AI solutions that align with Australia’s AI Ethics Principles. This post outlines how AWS tools and services can support government agencies in adhering to Australia’s AI Ethics Principles when developing AI and machine learning (ML) solutions. The post includes a focus on implementation to help Australian governments responsibly innovate whilst maintaining cloud-based agility.

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Unlocking the power of generative AI: The advantages of a flexible architecture for foundation model fine-tuning

A flexible architecture is a crucial factor in unlocking the full potential of generative artificial intelligence (AI) solutions. In this post, we cover an Amazon Web Services (AWS) Cloud infrastructure with a modular architecture that enables you to explore and take advantage of the benefits from different open source foundation models in a flexible way. This solution provides several benefits.

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SoftwareOne boosts developer efficiency and streamlines code reviews using Amazon Bedrock

SoftwareOne, an Amazon Web Services (AWS) Premier Tier Services Partner and a global provider of end-to-end software and cloud technology solutions, addresses code review challenges with its automated solution, SummarAIze, powered by the generative artificial intelligence (generative AI) capabilities of Amazon Bedrock. This post provides an overview of SoftwareOne’s approach to building SummarAIze and its impact on the software development process.

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Powering education, state, and local leaders: Insights from the AWS IMAGINE keynote

Kim Majerus, vice president of global education and US state and local government for worldwide public sector at Amazon Web Services (AWS), led the keynote address at the AWS IMAGINE conference for education, state, and local leaders. Majerus shared how AWS customers are innovating for their communities with the cloud and announced new public sector initiatives from AWS. Two special guests joined Majerus on stage to share how a culture of innovation is transforming the student and citizen experience at their organizations. Read this post for some of the highlights from the AWS IMAGINE conference keynote.

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Responsible AI for mission-based organizations

Machine learning (ML) and artificial intelligence (AI) are transformative technologies, enabling organizations of all sizes to further their mission in ways not previously possible. But, it is critical to think responsibly about these technologies so that all users are treated fairly, data is appropriately protected, and individuals can make informed choices about consent. In this post, we discuss responsible AI and how you should think about your workloads. This approach will help ensure your AI systems are fair, transparent, and secure.