Category: Artificial Intelligence

To gain operational efficiencies and reduce workload burdens on employees, some state finance and tax agencies are leveraging robotic process automation (RPA) on AWS. RPA is a software tool that integrates with almost any system or application and performs manual, repetitive, time-consuming tasks. Tax agencies can use AI and ML to support the sheer size and scale of data they manage and to access and analyze all types of data with ease, including voice, video, and streaming data. Find out three ways AI and ML are creating measurable outcomes for tax agencies.

Diabetes is a major chronic disease that often results in hospital readmissions due to multiple factors. An estimated $25 billion is spent on preventable hospital readmissions that result from medical errors and complications, poor discharge procedures, and lack of integrated follow-up care. If hospitals can predict diabetic patient readmission, medical practitioners can provide additional and personalized care to their patients to pre-empt this possible readmission, thus possibly saving cost, time, and human life. In this blog post, learn how to use machine learning (ML) from AWS to create a solution that can predict hospital readmission – in this case, of diabetic patients – based on multiple data inputs.

According to the United States Constitution, public access to judicial proceedings is a right covered by the First and Sixth Amendments. To make hearings visible to the public, even when in-person attendance is limited, state and local governments are beginning to mandate many court proceedings be live streamed, often with a very short window to do so. The cloud-native media and asset management platform Nomad, which is built on AWS, helps governments implement scalable live streaming capabilities quickly and simply.

Citizens want to report issues to their local governments in a fast and simple manner and not have to worry about identifying the right government agency or phone number—for instance, if a fire hydrant is broken, or a road sign has fallen over. In this blog post, learn how to set up a solution with AWS deep learning services that creates a fluid experience for reporting and addressing these issues.

The Busan Cloud Innovation Center (CIC) teamed up with the World Food Programme (WFP), the Busan IT Promotion Agency, and technology startup Nuvilab to use cloud technology to address food waste in South Korea. Using Amazon’s “Working Backwards” approach with artificial intelligence (AI), machine learning (ML), and data lake solutions on AWS, the team developed Zero Waste Zero Hunger (ZWZH), a program that uses artificial intelligence AI to provide data about food consumption.

Healthcare providers and healthcare systems want to modernize their healthcare data exchanges so they can better analyze and gain more insight from their clinical data. In this walkthrough, learn how to use AWS to migrate legacy healthcare messaging data into Amazon HealthLake, which can use artificial intelligence (AI) and machine learning (ML) to discover meaningful and actionable healthcare information embedded in unstructured text.

Cybersecurity analytics is a systematic methodology designed to collect, ingest, process, aggregate, and analyze security events. This methodology empowers organizations to proactively perform security investigations, powered by advanced analytics and machine learning (ML), which help mitigate cyber issues more effectively and efficiently at scale. Learn about the core components of a cybersecurity analytics framework and how organizations can use AWS to design a cybersecurity analytics platform with analytics and ML services.

Jacaranda Health, a Kenya-based nonprofit organization, is on a mission to end preventable maternal and newborn deaths by deploying low-cost, sustainable solutions that improve the quality of care in government health systems. Jacaranda Health, a recipient of the 2021 AWS IMAGINE Grant award, uses AWS to power a health platform that uses artificial intelligence (AI) to connect mothers with timely information about pregnancy care, as well as potentially lifesaving advice and referrals to care facilities when it matters most.

Nara Space Technology is a South Korea-based startup that builds nano satellite constellations and provides satellite data services to let customers quickly identify and address issues like changing climate conditions and disaster recovery to improve life on Earth. Nara Space provides solutions for nano satellite and small spacecraft system design, integration, development, and testing; enables satellite data analytics based on deep learning; and improves the visual quality of standard satellite imagery with its Super Resolution core technology. To do this, Nara Space uses AWS for secure, flexible, scalable, and cost-efficient cloud solutions.

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.