Tag: AWS Cloud Adoption Framework

Generative artificial intelligence (AI) has captured the imagination of organizations across industries, promising to revolutionize workflows and drive innovation. As public sector entities explore this transformative technology, a critical challenge emerges: identifying and prioritizing high-value use cases that align with specific business objectives and delivering measurable outcomes. In this post, we present an Amazon Web Services (AWS) framework to help public sector organizations navigate generative AI adoption and unlock its true potential.

As Australia moves forward with a national framework for the assurance of artificial intelligence (AI) in government, Amazon Web Services (AWS) is committed to helping our customers implement AI solutions that align with Australia’s AI Ethics Principles. This post outlines how AWS tools and services can support government agencies in adhering to Australia’s AI Ethics Principles when developing AI and machine learning (ML) solutions. The post includes a focus on implementation to help Australian governments responsibly innovate whilst maintaining cloud-based agility.

Embracing the Amazon Leadership Principles fosters a culture of customer obsession, ownership, and experimentation. Doing so has supported one Amazonian’s capabilities and his success as he’s continuously delivered on behalf of his public sector customers. In this post, he shares examples of how public sector customers have embraced the Leadership Principles, which has been both inspiring and validating to witness.

To support public sector organizations looking to remediate legacy concerns, Amazon Web Services (AWS) has created a solution guide for legacy transformation. This comprehensive solution guide will enable public sector organizations to reduce the risks and costs of managing legacy systems while lowering their IT carbon footprint by moving to the cloud.

Generative artificial intelligence (AI) is easy to use but it’s important not to confuse ease of use with effortless deployment. The value of generative AI is inextricably linked to the technology’s reliability and traceability. To achieve this reliability and traceability in any organization, it helps to focus on AI’s potential one use case at a time but also to plan for the bigger picture. Read this blog post for a tried-and-tested AI framework to consider.

Amazon Web Services (AWS) employs project management principles to deliver public sector cloud outcomes. These principles drive successful service launches, new solutions, and workload migrations. Read this blog post to learn about the project management tools, references, and AWS Management Console tips that give public sector customers better project visibility, automate task management, and help accelerate project outcomes.

Many organizations invest in infrastructure for future needs but may overlook needed technical training and cloud modernization skills for people within the organization. The AWS Cloud Adoption Framework (AWS CAF) provides guidance outlined in six different perspectives for an organization’s cloud transformation journey. One of these perspectives, People perspective: culture and change, addresses how to develop capabilities for the growth of people within an organization. Learn how developing key capabilities within the People perspective of the AWS CAF can support long-term mission success.

Digital transformation is a concept that is high on the agenda of many governments. Many large public sector organizations are undertaking mass migrations: the movement of a meaningful portion of your organization’s existing IT assets to the cloud. This might consist of a data center, a collection of data centers, a business unit, or some other portfolio of systems that is larger than a single application. Here are some top tips and real-life learnings for public sector organizations looking to execute a successful cloud migration strategy.