Tag: Amazon Sagemaker

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.

Using AWS, Edunation seamlessly responded to increasing demand during the COVID-19 pandemic. Edunation collaborates with top educational institutions across the Middle East and North Africa (MENA) region and provides all-in-one learning and school management solutions. Today, the EdTech is on a mission to push learning management systems (LMS) beyond virtual classrooms.

The maturing of artificial intelligence (AI) has brought ready-made services that organizations can use, not only to automate data entry work but also to apply intelligence into the business process. Using modern AI capabilities on AWS, organizations can transform approaches to document management. This allows public sector organizations to save time (enabling faster throughput especially during higher volume paperwork times), so they can help get constituents their services faster, and focus on the most valuable work of the high-touch or high-need cases. Document automation helps reduce human entry error and provide backup services in case of natural disaster.

The Urban Analytics Lab at the National University of Singapore (NUS) spearheads research in geospatial data analysis and 3D city modelling. The lab’s work underpins the development of smart cities and provides scientists, architects, urban planners, and real estate developers with data insights. These insights help parties make informed decisions about projects ranging from energy modelling to urban farming. To meet rising global demand for its data analytics and planning tools, Urban Analytics Lab turned to Amazon Web Services (AWS).

To help protect investments on ML, government organizations can securely store ML source code. Storing Amazon SageMaker Studio code in an AWS CodeCommit repository enables you to keep them as standalone documents to reuse in the future. SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps required to prepare data and build, train, and deploy models. Read on to learn the steps to configure a git-based repository on CodeCommit to manage ML code developed with SageMaker.

Data is at the heart of healthcare, but our wellbeing is complex. It is a challenge to find the right approach when analyzing or visualizing data. Technology like text-to-speech, augmented reality (AR), and deep learning can help us better understand and explain health data. By designing solutions in the cloud, we can leverage AWS to launch and scale helpful tools as needed, paying for only what we use while keeping data secure.