Tag: best practices

Healthcare organizations invest heavily in technology and data. Generative artificial intelligence (AI) empowers healthcare organizations to leverage their investments in robust data foundations, improve patient experience through innovative interactive technologies, boost productivity to help address workforce challenges, and drive new insights to accelerate research. This post highlights three examples of how generative AI on Amazon Web Services (AWS) is being used in healthcare and discusses ways to leverage this technology in a responsible, safe way.

Amazon Web Services (AWS) works with higher education institutions, research labs, and researchers around the world to offer cost-effective, scalable, and secure compute, storage, and database capabilities to accelerate time to science. In our work with research leaders and stakeholders, users often ask us about best practices for leveraging cloud for research. In this post, we dive into five common questions we field from research leaders as they build the academic research innovation centers of the future.

The first blog post in this series outlined considerations for developing API pipelines on AWS to extract data from third-party SaaS tools. With consolidated data, public sector organizations can offer new experiences for donors and members, enrich research datasets, and improve operational efficiency for their staff. This follow-up blog post presents options for ingesting SaaS data with API requests from AWS services, methods for handling payload data from API calls, and guidance for orchestration and scaling an API data pipeline on AWS.

In this post, learn use cases for digital twins, plus how to create an open-source digital twin sample front-end application built with AWS Amplify, Amazon Cognito, and AWS IoT Core that you can use as a starting point for building efficient, scalable, and secure digital twin solutions.

Successful digital transformation depends on being able to work across silos, which are a common feature of central and regional government agencies. Composability is a system design principle that describes how to create collaboration and interoperable processes to navigate silos. Composability is a useful tool for governments working to advance their digital transformation. In this blog post, learn some examples of composability in government services and best practices for creating composable services.

With new funding opportunities available, now is the time for state and local government agencies to act quickly and think strategically about their approach to building a resilient whole-of-state (WOS) cybersecurity strategy. Some trailblazing states have had measures of success in establishing a WOS footprint by thinking strategically about short and long-term outcomes to support secure digital transformations and protect constituent data and services. Learn some best practices that organizations can consider in their WOS cybersecurity approach.

Learn how to store historical geospatial data, such as weather data, on AWS using Amazon DynamoDB. This approach allows for virtually unlimited amounts of data storage combined with query performance fast enough to support an interactive UI. This approach can also filter by date or by location, and enables time- and cost- efficient querying.

AWS announced the availability of Landing Zone Accelerator (LZA) for Education, an industry-specific deployment of the LZA on AWS, designed to further support education customers in designing cloud environments for their compliance needs. The LZA on AWS solution is architected to align with AWS best practices and multiple, global compliance frameworks. The new LZA for Education builds on the LZA to help customers secure their research workloads or workloads containing student data by giving them a set of default configurations that they can use as a starting point and iterate on to define security and compliance posture as code.

As more federal public sector organizations move toward cloud computing, many are looking for ways to make sure that they’re using the cloud effectively and efficiently. One way to do this is to establish a cloud center of excellence (CCoE). Learn how to build an effective CCoE to help streamline cloud adoption, security and innovation needs, reduce costs, and more.

Moving a college’s or university’s on-premises IT infrastructure to the cloud involves a lot of change in organization, culture, and practice. However, in my experience as a former chief financial officer (CFO) in higher education, financial planning for cloud computing is often not attended to with as much diligence. Financial planning needs to be understood as a positive feature of digital transformation, even if it means changing how financial plans are developed and managed. In this blog post, learn four strategies to consider when deciding to migrate to the cloud.