Tag: Amazon Sagemaker

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.

Artificial intelligence (AI) and machine learning (ML) are critical tools being used in healthcare research, autonomous applications, predictive maintenance, and also a key tool used to advance sustainability solutions. However, to use AI and ML to solve sustainability problems, innovators need specific datasets that are prepared for analysis and training of the models. To help create and accelerate sustainability solutions, the Amazon Sustainability Data Initiative (ASDI) today announced easier identification of sustainability datasets with integration in AWS Data Exchange and the launch of a sustainability hackathon.

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.

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.

A research team led by Dr. Beatriz Martinez Lopez at UC Davis supports pig farmers with a data analytics platform that aggregates and analyzes animal health data to diagnose animal viruses and diseases. But this platform was primarily designed for analysts and data scientists. To truly transform animal disease management, Martinez-Lopez wants to put this data analytics tool into the hands of farmers around the world. So the research team is using the scalable, cost-effective tools of the AWS Cloud, along with a research grant letter of support from AWS, to make this optimized platform a reality.

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.

AWS announced over 85 new services and features at re:Invent 2021, with something to offer for every industry — including K12 education. These new services and features unlock new use cases and lower the barrier to entry for schools looking to adopt cloud technology to better serve their students, parents, and staff. Read on for highlights of some of the key AWS announcements from re:Invent 2021 that can help K12 education.

The nonprofit American Forests is focused on advancing social equity with a national reforestation movement. Trees provide significant benefits against heat related illnesses and climate change, and trees can help advance social equity when they are planted in the neighborhoods that need them the most. But the challenge of achieving Tree Equity across the country is immense. To address this, American Forests is leading a new national campaign through the Tree Equity Score, powered by the Amazon Web Services (AWS) Cloud.

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.

According to EdTech Magazine, at the height of the pandemic, 94 percent of educators agreed that students will need increased social and emotional support throughout the school year. There’s a renewed focus on social-emotional learning (SEL) support in the classroom, with educators looking for additional ways to help students be healthy and engaged in class. Four AWS EdStart Members are addressing different aspects of SEL and helping to positively impact the student experience.