Category: HAQM Bedrock

As Australia moves forward with a national framework for the assurance of artificial intelligence (AI) in government, HAQM 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.

A flexible architecture is a crucial factor in unlocking the full potential of generative artificial intelligence (AI) solutions. In this post, we cover an HAQM 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.

SoftwareOne, an HAQM 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 HAQM Bedrock. This post provides an overview of SoftwareOne’s approach to building SummarAIze and its impact on the software development process.

Kim Majerus, vice president of global education and US state and local government for worldwide public sector at HAQM 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.

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.

For years, public health agencies have relied on paper-based case report forms to supplement the electronic laboratory reports (ELRs) they receive for reportable diseases. While ELRs provide positive test results, the accompanying case reports give public health agencies critical clinical, demographic, and risk factor data needed for effective disease investigation and response. However, the sheer volume of COVID-19 cases quickly overwhelmed this manual, paper-based process. Prior to the pandemic, the Office of the National Coordinator for Health IT (ONC) and the Centers for Disease Control and Prevention (CDC) developed standards for an electronic case report (eCR) form that could be automatically sent to public health agencies from providers’ electronic health records (EHRs).

A growing list of educational organizations, including Kaplan, McGraw Hill, New York University (NYU), and Coursera, have turned to CreatorUp to meet the rising demand for online learning. CreatorUp combines an innovative mix of human-powered creatives and generative artificial intelligence (AI) provided by HAQM Web Services (AWS) to help organizations quickly scale their digital content production. Read this post to learn more.

Generative artificial intelligence (AI) innovation and inspiration dominated today’s AWS Summit Washington, DC keynote. But there was no shortage of newsworthy moments and key takeaways that extended beyond generative AI. Dave Levy, vice president of Worldwide Public Sector at HAQM Web Services (AWS), delivered the keynote and was joined onstage by three guest speakers who helped him set the tone for the annual two-day event that brings the public sector cloud community together in the nation’s capital.

Announced today by HAQM Web Services (AWS), the two-year, $50 million investment is designed to help public sector organizations – and those that directly support their technology needs – to accelerate innovation in support of critical missions using AWS generative AI services and infrastructure, such as HAQM Bedrock, HAQM Q, HAQM SageMaker, AWS HealthScribe, AWS Trainium, and AWS Inferentia.

The HAQM Web Services (AWS) commitment to safe, transparent, and responsible artificial intelligence (AI)—including generative AI—is reflected in our endorsement of the White House Voluntary AI Commitments, our participation in the UK AI Safety Summit, and our dedication to providing customers with features that address specific challenges in this space. In this post, we explore how AWS can help agencies address the governance requirements outlined in the Office of Management and Budget (OMB) memo M-2410 as public sector entities look to build internal capacity for AI.