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Google PublicSector is committed to helping advance the missions of education and government agencies through cloud technology in a secure and responsible way. Google PublicSector is investing in partner solution enablement to better serve publicsector customers together.
At AWS re:Invent 2024 , which took place last December in Las Vegas, Amazon Web Services (AWS) unveiled an array of cutting-edge innovations during a week of keynotes, innovation talks, breakout sessions, product launches, interactive demos, and networking opportunities.
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Publicsector organizations worldwide face a common challenge: processing an ever-growing volume of document-heavy applications across various services. While we focus on naturalization as our primary example, the solution discussed can be applied to any publicsector use case involving large-scale document processing.
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This post builds on the core concepts of LZA so a basic understanding of LZA is necessary to implement the solution. To learn about LZA, check out the AWS Solutions Library and Implementation Guide. Please follow the Implementation Guide to get started with LZA.
These companies help reduce the time-to-implementation, letting nonprofit organizations focus on their main objective: advancing their missions. Reach out to your AWS account manager to learn more, or contact the AWS PublicSector Team to get started with AWS.
With publicsector organizations increasingly adopting remote- and hybrid workforce policies, it is critical to ensure that all of the potential internal stakeholders have a seat at the table. Share your requirements at length and ask for proof of concept or an in-depth demo.”
Before starting this hands-on demo, learn how to create an AWS CloudFormation stack or refresh your knowledge. Implementation Follow the instructions in this code repository to implement this sample workflow in your own AWS account. To request access, please email aws-groundstation@amazon.com.
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Implementation and testing: Deploy the components of the solution, build the knowledge base, and test the chat UI. Deployment and handover: Demo the solution to you, and hand over the source code and the deployment steps.
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Shortly afterward, the AWS Product Acceleration team collaborated with Benchmark Education to create an architectural proposal for the solution and built a proof-of-concept (POC) during a build and demo week. For more information about building AI tools for the classroom, contact the EdTech team or AWS in Higher Education.
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