AWS Public Sector Blog

Category: Artificial Intelligence

The COVID-19 infodemic: How Novetta uses machine learning to analyze unproven narratives on social media

The COVID-19 pandemic is driving a parallel “infodemic”: the rapid spread of competing and often harmful narratives about the virus. Social media plays a central role in this infodemic, serving as a forum for the spread and evolution of theories and beliefs with origins in broadcast, print, online news, blogs, and other digital arenas. As the COVID-19 infodemic grew, Novetta used AWS to create Rapid Narrative Analysis (RNA), a solution that achieves accuracy by using human expertise at critical stages of analysis while using machine learning (ML) models to rapidly diagnose the severity of the spread of key narratives at a speed needed to take effective action.

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bootprint in sand; photo by Bernard Hermant via Unsplash

Enabling warfighters and intelligence mission success

In a world where data is produced and handled at unprecedented speeds and quantities, the need for effective methods to securely store, analyze, and interpret this data is more important now than ever. As agencies within the U.S. Department of Defense and Intelligence Community turn to cloud adoption, they are able to bring new capabilities closer to the tactical edge and accelerate their digital transformation. Agencies can effectively leverage these new technologies such as AI, ML, and data analytics to free up time and resources for warfighters and analysts to focus on mission critical tasks.

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AI-powered speech recognition is creating interactive learning experiences for children and adults

AWS EdStart Members and founders Long Qin of Singsound and Elnaz Sarraf of ROYBI are using artificial intelligence (AI) to revolutionize early language learning. Long, based out of Beijing, China, is dedicated to providing accessible and quality English education to every family throughout China. Elnaz, based out of San Francisco, CA, United States, is dedicated to changing the one-size-fits-all approach of our global education system.

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Understanding disaster recovery as a service (DRaaS): How FSU achieved a modern solution for an inevitable threat

In October 2018, the Florida panhandle was hit by Hurricane Michael, a Category 5 storm that set a new record for the strongest hurricane on record to make landfall in the area. Florida State University (FSU) already understood the need for a long-term continuity of operations plan, and the devastation Michael wrought on the surrounding areas solidified how critical a disaster recovery (DR) service is to their overall operations. Disaster-recovery-as-a-service (DRaaS) is the business world’s advanced solution to unexpected disruption. Whether the threat comes from natural disaster, technical failure, human error, or malicious action, the result is still unplanned downtime and the need for recovery. Learn how FSU designed and launched their DRaaS solution on an accelerated timeline while optimizing costs.

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football on field; Photo by Dave Adamson on Unsplash

Using a data-driven approach and machine learning to coach at the collegiate level

The University of Illinois Urbana-Champaign (UIUC) believes that technology is a powerful tool for driving results and innovation on campus. Their chief information officer, Mark Henderson, developed a task force—called the Data and Technology Innovation Lab—to identify department challenges and task individuals to build innovative solutions using technology. One area where UIUC identified an opportunity was sports analytics using machine learning (ML). Learn more about how UIUC was inspired by what they were seeing in professional sports, using data to shift their approach to coaching football.

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AWS Artificial Intelligence and Machine Learning Week is back – Register now

Artificial intelligence (AI) solutions are helping solve some of the biggest short- and long-term challenges within the public sector. But how can you quickly identify new AI-powered opportunities and use cases to solve unique and specific challenges within your organization? AWS AI and ML Week, taking place from September 14-18, includes seven curated webinars from introductory to expert level. Whether you’re new to AI or an experienced machine learning developer, attend our webinars and dive into some of the most common AI use cases for the public sector from this year.

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How artificial intelligence and Amazon Alexa are teaching students to write

Ecree, an AWS EdStart Member, was founded by educators who believed the way we teach students to write is broken. The volume of work a teacher is being asked to do means students don’t always get the necessary attention and feedback required to develop their writing skills. Ecree’s founding team set out to support teachers and students by creating the world’s first rules-based tool that assesses student writing in the same way a highly trained professor does, on-demand. The solution uses cloud technologies including machine learning (ML), artificial intelligence (AI), and voice technology to help improve student writing.

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AI and ML Rapid Adoption Initiative

Launching the AI and ML Rapid Adoption Assistance Initiative for AWS Public Sector Partners

Artificial intelligence (AI) and related technologies including machine learning (ML) and deep learning (DL) can transform the way government agencies operate and enable them to provide improved citizen services. AWS Partner Network Partners have been working with AWS to accelerate solutions development using AI and related technologies for our public sector customers. To further assist partners in the acceleration of AI and ML, AWS is launching a new partner initiative: the AI and ML Rapid Adoption Assistance Initiative.

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Treating cancer with the power of the cloud

Cancer Commons is a nonprofit network of patients, physicians, and scientists dedicated to helping patients identify and access the best personalized treatment options. Erika Vial Monteverdi, executive director of Cancer Commons, describes how the AWS compute infrastructure, combined with services like Amazon Comprehend Medical, enable physicians and patients to leverage the collective knowledge of the world’s top institutions. 

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In case you missed it: July 2020 top blog posts round up

In July 2020, the AWS Public Sector Blog covered artificial intelligence (AI) and machine learning (ML) for education, best practices for moving your research workflows to the cloud, and more. For more blog highlights from this month, you can also check out The Brief.

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