AWS Public Sector Blog

Tag: Machine Learning

Accelerating and democratizing research with the AWS Cloud

The cloud is changing the way we do research—accelerating the pace of innovation, democratizing access to data, and allowing researchers and scientists to scale, work collaboratively, and make new discoveries from which we may all benefit. Researchers from around the world look to the AWS Cloud for customer-focused, pioneering, and secure solutions for their toughest challenges. Discover how customers in Latin America and Canada use AWS for research.

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Accelerating innovation in Australia and New Zealand: AWS Summit Canberra keynote recap

On Wednesday, August 31, Max Peterson, vice president of worldwide public sector at AWS, delivered the keynote address at the AWS Summit Canberra. Max shared regional announcements and local stories of how public sector customers are using the cloud to transform citizen services, innovate in healthcare, improve sustainability, and more. Two customer speakers joined the stage to share how AWS helps their organizations support their mission success and reimagine what’s possible. What’d you miss at the AWS Summit Canberra keynote?

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Amazon SageMaker Studio Lab helps educators focus on teaching rather than technology

The browser-based computational notebook tool, Jupyter, provides students and educators with an interactive learning environment to accelerate programming learning. But setting up collaborative Jupyter notebooks at the classroom and institutional level can be time-consuming and costly. Amazon SageMaker Studio Lab is a no-cost service built on Jupyter notebooks that takes care of the configuration and security of setting up multi-user Jupyter notebook environments – so educators can focus on teaching and learners can accelerate their journey in ML.

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OpenFold, OpenAlex catalog of scholarly publications, and Capella Space satellite data: The latest open data on AWS

The AWS Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. Our full list of publicly available datasets are on the Registry of Open Data on AWS and are now also discoverable on AWS Data Exchange. This quarter, we released 15 new or updated datasets including OpenFold, OpenAlex, and radar data from Capella Space. Check out some highlights from the new or updated datasets.

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What we learned at Amazon re:MARS 2022 for the public sector

The Amazon re:MARS 2022 conference brought together thought leaders, technical experts, and groundbreaking companies and organizations that are transforming what’s possible in machine learning (ML), automation, robotics, and space. Advancements in these fields are the engines that will drive innovation for the next 100 years. Read on to learn about announcements from re:MARS related to the public sector, plus some of the innovative organizations and companies that were onsite to inspire guests with breakthrough technologies and ideas.

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How public sector agencies can identify improper payments with machine learning

To mitigate synthetic fraud, government agencies should consider complementing their rules-based improper payment detection systems with machine learning (ML) techniques. By using ML on a large number of disparate but related data sources, including social media, agencies can formulate a more comprehensive risk score for each individual or transaction to help investigators identify improper payments efficiently. In this blog post, we provide a foundational reference architecture for an ML-powered improper payment detection solution using AWS ML services.

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How AI-powered robotics give nurses more time to spend with patients

Nursing shortages are not a new phenomenon, but the pandemic has exacerbated the problem. The situation has forced hospitals to think creatively about their staffing models and has also brought clinical teams, operators, and IT departments together in an effort to seek new ways to use technology. One healthcare system is using robotics powered by cloud technology, including artificial intelligence (AI) and machine learning (ML), to help nurses spend more time with patients.

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Using AWS to help students find an affordable college

Moneythink is an education technology nonprofit providing big solutions to help with college affordability, accessibility, and student loan debt. We built DecidED, a web app that runs on AWS and provides students across the country with guidance and support to understand financial aid options and budgeting for college costs. Our work gives students the cost transparency necessary to make clear decisions about their futures, and is especially beneficial for historically marginalized students, as they often lack resources due to institutionally imposed barriers.

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How EdTechs use artificial intelligence and machine learning to create personalized learning experiences

As AI and ML becomes more ubiquitous and simple to use, EdTech companies and startups around the world are unlocking the benefits of these technologies, particularly when it comes to personalizing learning content for a learner or educator’s specific needs. Learn how EdTech startups and AWS EdStart Members are using AI and ML to help revolutionize the education industry. 

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Bringing world-class satellite imagery to smallholder farmers with open data

As part of the Amazon Sustainability Data Initiative (ASDI), AWS invited Nils Helset, co-founder and chief executive officer (CEO) of DigiFarm, to share how AWS Cloud technology and open data support DigiFarm’s efforts in precision farming to make agricultural practices more sustainable and efficient.

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