Tag: Artificial Intelligence

The Climate Risk Research Foundation is a nonprofit that supports data-driven climate research. Their goal is to help decision-makers identify the potential impact and magnitude of climate-related risks and develop possible mitigation strategies. We chatted with the organization’s chairman, Brendan Reilly, to learn how its Sustainable Africa Initiative (SAI) is empowering agricultural experts in Nigeria to analyze climate risk models on Amazon Web Services (AWS) to prevent future food insecurity in their local communities.

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. 

As a teacher with the KIPP charter school network in Houston, Texas, Dave Wakefield knew there had to be a better way for educators to gain insightful feedback on their instruction. Traditionally, educators who wanted feedback on their teaching either had to have someone visit their classroom or film themselves and then send that video to a mentor or peer for review. In 2013, Wakefield founded education technology (EdTech) company Sibme as a way to use technology, powered by Amazon Web Services (AWS), to help educators access quicker and more reliable feedback.

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).

The Amazon Web Services (AWS) Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. Through this program, customers are making more than 100 petabytes (PB) of high-value, cloud-optimized data available for public use. This past quarter, AWS released 21 new or updated datasets. What will you build with these datasets?

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.

Amazon Web Services (AWS) is investing $4 million to support the work of the HALO Trust and trial the use of artificial intelligence (AI) with drone imagery to locate minefields and other explosive remnants of war in Ukraine. Innovating with AWS will enable HALO to make wider use of the high-resolution drone footage it collects, including testing machine learning (ML) models for identifying mines.

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.