AWS Public Sector Blog

Tag: Natural Language Processing

Fighting fraud and improper payments in real-time at the scale of federal expenditures

Since 2003, the US federal government has made approximately $1.7 trillion in improper payments, with an estimated $206 billion made in FY 2020 alone. Improper payments are now anticipated to increase proportionally to new levels of federal spending. How can agencies fight improper payments at this scale? And what tools can agencies use to address fraud, erroneous data submission and other causes of this problem? Agencies can use AWS to solve the multi-sided issues of payment integrity.

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Amazon Scholars and Amazon Visiting Academics use AWS to accelerate research

The AWS Cloud Credit for Research Program launched a new opportunity for Amazon Scholars and Amazon Visiting Academics to apply for AWS Promotional Credit to accelerate innovation through cloud technology. Amazon Scholars are world-class academics and Amazon Visiting Academics are pre- to newly-tenured academics, selected to tackle real-world technical challenges as they continue to teach and conduct research at their universities. AWS Promotional Credit is offered through this initiative is to support the awardees’ impactful university research that’s distinct from their work at Amazon.

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4 ways conversational AI and Amazon Lex help the public sector transform customer engagement

Public sector organizations want to innovate the way they engage their communities to make information easier to access, improve user experience, expand their reach by supporting multiple communication channels, and improve efficiency and scalability through intelligent automation. Conversational artificial intelligence (AI) and chatbots can be used to transform the customer experience, enhance engagement, improve services, and help scale more simply.

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How to create a task-generating voicemail solution with Amazon Connect

It’s time consuming for public sector organizations to sort through packed voicemail inboxes, figure out how to respond, return calls, and take detailed records on each call. So AWS developed a scalable call center solution that allows organizations to streamline the entire call process – from call intake, to generating actionable insights for response with artificial intelligence, to detailed recordkeeping and storage. This blog post guides you through how to create this task-generating cloud call center solution with Amazon Connect.

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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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