Category: Database

AWS App Studio is a low-code development platform for users to build, deploy, and manage applications without extensive coding knowledge. It is designed to streamline the application development process, making it more accessible to a wider range of users, including business users, IT professionals, and startups that don’t have large specialized IT teams. This post guides you through the process of creating a user-friendly create, read, update, and delete (CRUD) application to efficiently manage birth certificate applications using AWS App Studio.

In this post, we explore how generative artificial intelligence (AI), powered by services such as Amazon Bedrock and Amazon SageMaker, can be harnessed to meet the unique challenges of AWS GovCloud (US). We highlight use cases that demonstrate the potential of generative AI to enhance efficiency, automate workflows, and extract insights—all within a secure, compliant framework.

This post discusses how FIA Tech, a leading technology provider for the exchange traded derivatives (ETD) industry, built the Trade Data Network (TDN) on Amazon Web Services (AWS). TDN is an industry initiative that provides a shared ledger of trading information to address the fragmentation and lack of transparency in ETD post-trade processing. The TDN initiative currently includes 17 banks/brokers and 40 investment managers and hedge funds with combined assets under management of more than $34 trillion.

Seeking to make access to economic policy documents easier, the Mercatus Center — a university-based research center affiliated with George Mason University — created a generative artificial intelligence (AI) solution. Mercatus developed a platform, QuantGov, with assistance from Amazon Web Services (AWS) resources, including Amazon Bedrock, AWS Lambda, AWS API Gateway, and AWS RDS. Accessible through an interactive AI assistant, the platform provides scalable, accurate, and no-cost access to a treasure trove of data, helping policymakers craft informed public policy that will positively impact people’s lives.

Precision medicine is a data-driven approach that considers individual variations in genetics to allow healthcare professionals to more accurately predict, prevent, diagnose, or treat different groups of people. As part of ongoing research to advance genomic research in Singapore, companies like Amazon Web Services (AWS) and Illumina play a pivotal role in genome sequencing and analysis, and providing the tools and technology needed to analyse large-scale genomic datasets to help decode the risk factors for certain Asian-specific chronic diseases.

In countries where demand for healthcare outweighs available resources, and populations are spread out in remote locations, open source technologies using Amazon Web Services (AWS) can transform providers’ and patients’ experience. Bahmni, an open source electronic medical records (EMR) system is one that we have pioneered. It gives doctors rapid access to up-to-date health records and test results so that they have better information and more time for patient care. A system that started in a single hospital in a remote part of central India is now used by more than 500 hospitals in 50 countries.

Amazon Web Services (AWS) offers a variety of options for building chat-based assistants with generative artificial intelligence (AI) capabilities. The goal of this post is to present in simple words some of these options and what to keep in mind to decide which to use and how to get started.

Public sector organizations worldwide face a common challenge: processing an ever-growing volume of document-heavy applications across various services. From naturalization procedures to asylum applications and university admissions, many crucial processes still rely on manual or partially manual methods, leading to significant backlogs, extended processing times, and increased costs. This post explores how Amazon Bedrock can be used to address these challenges, focusing on streamlining naturalization applications.

In 2019, Pennsylvania State University (Penn State) began looking for a better way to meet the needs of its digital-native student population—specifically, a seamless way to connect students with on-campus resources. Seeking to create a personalized mobile app experience, Penn State partnered with Modo Labs, an educational technology company (EdTech) offering a no-code app-building platform powered by Amazon Web Services (AWS). The result of this collaboration was Penn State Go, an all-in-one platform that quickly connects students to vital resources and services.

The National Healthcare Group (NHG) is a leader in public healthcare in Singapore and is recognized for delivering high-value patient care. Its clinical services are provided through an integrated system of polyclinics, acute care tertiary hospitals, community hospitals, national specialty centers, and community-based care centers. Read this post to learn how NHG has collaborated with Amazon Web Services (AWS) to develop an intuitive and engaging mobile application called the NHG Cares App, which engages residents and spurs them to take charge of their health through personalized care plans, wellness coaching, health and social care programs, digital health education resources, and many other healthcare services.