Category: Education

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.

What if we were to democratize access to data and compute so that anyone, anywhere in the world could contribute to climate science? The Amazon Sustainability Data Initiative (ASDI) seeks to accelerate sustainability research and innovation by minimizing the cost and time required to acquire and analyze large sustainability datasets. ASDI supports innovators and researchers with the data, tools, and technical expertise they need to advance sustainability initiatives. ASDI is committed to making climate-relevant data easier to access and analyze. ASDI’s growing data catalog comprises petabytes of open data.

Today, Amazon announced that it is now hosting petabytes of data from the largest and most updated climate simulation dataset in the world. Through two cloud grants from the Amazon Sustainability Data Initiative (ASDI) to the Earth System Grid Federation (ESGF), Amazon is enabling climate researchers worldwide to access and analyze the dataset used for the United Nation’s Intergovernmental Panel on Climate Change’s Sixth Assessment Report (IPCC-AR6) on the AWS Cloud. The report—scheduled to be published in May 2022—provides policymakers worldwide with the latest assessment of the scientific basis of climate change, its impacts and future risks, and options for adaptation and mitigation. The climate simulation dataset, also known as the Coupled Model Intercomparison Project Phase 6 (CMIP6) data archive, traditionally hosted and distributed through the ESGF servers, aggregates the climate models created across approximately 30 working groups and 1,000 researchers working on IPCC-AR6.

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).

Data has become a strategic asset. With the right tools, data becomes predictive and makes us agile. Using data-led migrations and advanced data analytics solutions, AWS Partners create repeatable and scalable solutions that provide increased operational efficiencies and profitability for companies, agencies, and governments. The three steps to gaining the full value of data are: migrate data to the cloud data lake, set up an analytics engine, and leverage artificial intelligence (AI) technologies, including ML and deep learning.

Nonprofits and education institutions of all sizes rely on large amounts of data to serve their stakeholders, programs, and governance. For many organizations, the first step in a technology transformation begins with centralizing data that is siloed across a variety of mission critical systems. In support of these goals, Salesforce.org and Amazon Web Service (AWS) are working together to help nonprofits and education institutions derive actionable insights from their data.

AWS Training and Certification is now offering a new foundational training course on AWS GovCloud (US) as part of their no-cost training webinar series. Introduction to Governance and Compliance in AWS GovCloud (US) Regions is a training workshop for those looking for a solution to host sensitive data and regulated workloads, or IT professionals just looking to learn more about AWS GovCloud (US). This new live training webinar dives into the basics of how AWS and AWS GovCloud (US) Regions address these stringent security, compliance, and governance requirements.

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.

The AWS Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on Amazon Web Services (AWS). We work with data providers to democratize access to data by making it available for analysis on AWS; develop new cloud-native techniques, formats, and tools that lower the cost of working with data; and encourage the development of communities that benefit from access to shared datasets. Our full list of publicly available datasets are on the Registry of Open Data on AWS. This quarter, we released 28 new datasets including data on SARS-CoV-2 viral genomes, storm surge forecasts, and US census data. Check out some highlights.

Organizations across the public sector are leveraging the cloud to drive their missions forward with cutting-edge innovation. At the Amazon Web Services (AWS) Public Sector Summit Online, vice president of worldwide public sector and industries Teresa Carlson and vice president of worldwide public sector Max Peterson at AWS shared the latest updates and spoke with leaders who are reinventing what’s possible using the AWS Cloud. Here’s what you missed.