AWS Public Sector Blog

Tag: Natural Language Processing

Amazon RaiseUp Buildathon

Building innovative solutions to help nonprofits with fundraising, content delivery, and mission delivery

Nonprofits and cultural institutions need support to serve and deliver impact to our local and global communities. Amazon’s Raise-up Buildathon, presented by AWS, empowered developers, technology enthusiasts, and advocates to build cloud solutions that enhance digital capabilities to help with fundraising, content delivery, and mission delivery. The majority of the winning solutions are available to nonprofits and cultural institutions via open source. Learn more about what these solutions can do, from donor management to augmented reality, to improving how you reach out to constituents to expand your donation stream.

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AI for good

Solving some of the world’s most difficult problems with AWS and AI for Good

This year, AWS is a gold sponsor of AI for Good, the action-oriented technology-education platform hosted by the United Nations (UN). The organization is delivering a webinar series to provide best practices around how to adopt AI and ML technologies. With less than 10 years remaining to achieve the 17 United Nations’ Sustainable Development Goals (SDGs) by 2030, organizations all over the world are using AWS services to deliver various AI and ML-enabled solutions—from delivering disaster-relief services at the edge to reconnecting telecommunications after a hurricane. We are also helping organizations adopt AI and ML technologies more readily in the areas of computer vision, automatic speech recognition, and natural language process to solve ongoing global challenges.

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female doctor on cell phone

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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artificial intelligence and machine learning

Exploring the future of AI and ML in the public sector

From accelerating genomics research to addressing the teacher shortage to improving commutes, artificial intelligence (AI) and machine learning (ML) are fueling digital transformation in the government, education, nonprofit, and healthcare sectors. Austin Tanney, head of AI at Kainos, shared his ML learnings and where he sees the technology going.

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Amazon Comprehend Medical icon

Improving patient care in Canada with Amazon Comprehend Medical

Amazon Comprehend Medical is a natural language processing (NLP) service that simplifies the use of machine learning (ML) to extract relevant medical information from unstructured text often found in clinical charts or doctor’s notes. Since the service launched in the AWS Canada (Central) Region in June 2019, it opened up possibilities for Canadian healthcare organizations to better serve patients. Vancouver General Hospital (VGH) and University of British Columbia (UBC) researchers are among the organizations who leverage Amazon Comprehend Medical and Amazon SageMaker, to create their own machine learning models that can triage x-rays to provide a better healthcare experience.

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Listen to Citizen and Student Sentiment with Machine Learning

Twitter has hundreds of millions of active users each month and supports multiple languages on their platform. These users engage with nonprofits, need citizen services, and learn at schools, universities, and other educational institutions. As a consequence, public sector organizations look to social media not only to communicate with the public, but also to gain insights about the citizens, volunteers, and students they serve. Wouldn’t it be great to know if people had positive or negative opinions about your city, school, nonprofit, or organization? What are they talking about and how many other people share that view?

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Using a serverless architecture to collect and prioritize citizen feedback

Just as companies listen to their customers to align the business with their client needs, government organizations listen to their citizens to improve the citizen experience. In order to get feedback, many organizations use different tools with a multi-channel approach, such as customer comments, Helpdesk calls, emails, social media, or mobile apps. Using Amazon Simple […]

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