Category: Generative AI

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.

On June 27, 2024, Amazon Web Services (AWS) and the Atlantic Council Geotech Center co-hosted an event, “An Allied Approach in the Age of AI,” during the annual AWS Summit Washington, DC. The event convened senior U.S. Government (USG) officials, allied nations’ diplomats, and private sector leaders to discuss approaches to shape the global future of responsible artificial intelligence (AI). This post is a recap of the event, which covered a range of topics including forging effective public-private partnerships, aligning AI governance strategies with allies, debating opportunities and challenges in the age of AI innovation, and building responsible, resilient AI systems. 

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).

Leaders in education and state and local government know that technology is changing at a rapid pace. Generative artificial intelligence (AI) and other advanced technologies present more opportunities for institutions and agencies to make data-driven decisions, accelerate research, create personalized and convenient student and citizen services, automate processes, and more. But how can you turn these opportunities into reality? That’s the central theme of this year’s AWS IMAGINE conference for education, state, and local leaders presented by Amazon Web Services (AWS).

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 Amazon 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 Amazon 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 Amazon 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 Amazon Bedrock, Amazon Q, Amazon SageMaker, AWS HealthScribe, AWS Trainium, and AWS Inferentia.

The Amazon 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.

In March 2021, Amazon Web Services (AWS) launched the Think Big for Small Business (TBSB) Program, which provides partners with access to financial incentives and additional visibility with customers and the AWS team. Since the program launched, it has supported 1,000-plus partners from 73 countries across the globe. In this post, we explore the pivotal role that the TBSB program plays in accelerating the growth of small business partners that serve public sector customers.

Generative artificial intelligence (AI) is revolutionizing public agencies by streamlining services and providing valuable insights from large datasets. However, adding generative AI to your agency is not a simple process. SMX, an Amazon Web Services (AWS) Premier Tier Services Partner, helped one nonprofit agency build a robust architecture in the AWS Cloud that provided them the foundation for building and implementing generative AI tools. In this guest post, experts from SMX explain five best practices they used to help this agency prepare for generative AI.