Category: Artificial Intelligence

A flexible architecture is a crucial factor in unlocking the full potential of generative artificial intelligence (AI) solutions. In this post, we cover an Amazon Web Services (AWS) Cloud infrastructure with a modular architecture that enables you to explore and take advantage of the benefits from different open source foundation models in a flexible way. This solution provides several benefits.

Amazon Web Services (AWS) advanced technologies can help reimagine the way healthcare entities deliver person-centered care. Technologies such as generative artificial intelligence (AI) and the ability to manage petabytes (PB) of data help companies achieve actionable insights that improve care. They can drive the ability to build new care models, improve the human experience in their health and care process, and enable clinical professionals to practice at the top of their licenses. In this blog post, I describe some ways AWS helps companies reimagine the delivery of health and care.

The potential of open data to transform governance and public services is immense, but realizing this potential requires overcoming common obstacles. In this post, we will explore best practices and solutions for Canadian public sector organizations seeking to use the cloud for open data, specifically examining how Amazon Web Services (AWS) can enable open data success.

Can generative artificial intelligence (AI) help in addressing complex societal issues, such as the equality of access to education? Despite efforts from educators and policymakers, students with additional needs and those who come from socio-economically deprived backgrounds continue to consistently perform worse than other groups. Student performance gaps stubbornly refuse to close while the demands placed on teaching professionals by time-consuming administrative tasks and the challenges associated with lesson preparations continue to increase. Generative AI presents educators with an opportunity to change things.

SoftwareOne, an Amazon Web Services (AWS) Premier Tier Services Partner and a global provider of end-to-end software and cloud technology solutions, addresses code review challenges with its automated solution, SummarAIze, powered by the generative artificial intelligence (generative AI) capabilities of Amazon Bedrock. This post provides an overview of SoftwareOne’s approach to building SummarAIze and its impact on the software development process.

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.

Healthcare organizations worldwide are leveraging Amazon Web Services (AWS) and partner solutions to modernize, transform, and innovate their businesses. Ensuring the availability and security of critical applications is paramount. For example, two renowned German medical facilities, Fachklinikum Mainschleife and Max Grundig Klinik, needed to modernize their IT infrastructure to comply with stringent regulatory requirements outlined in the country’s Law for Accelerating the Digitalization of Healthcare (DigiG). Reliable and compliant service offerings from AWS enabled the medical facilities to provide reliable access to essential systems.

Kim Majerus, vice president of global education and US state and local government for worldwide public sector at Amazon Web Services (AWS), led the keynote address at the AWS IMAGINE conference for education, state, and local leaders. Majerus shared how AWS customers are innovating for their communities with the cloud and announced new public sector initiatives from AWS. Two special guests joined Majerus on stage to share how a culture of innovation is transforming the student and citizen experience at their organizations. Read this post for some of the highlights from the AWS IMAGINE conference keynote.

Machine learning (ML) and artificial intelligence (AI) are transformative technologies, enabling organizations of all sizes to further their mission in ways not previously possible. But, it is critical to think responsibly about these technologies so that all users are treated fairly, data is appropriately protected, and individuals can make informed choices about consent. In this post, we discuss responsible AI and how you should think about your workloads. This approach will help ensure your AI systems are fair, transparent, and secure.

The Climate Risk Research Foundation is a nonprofit that supports data-driven climate research. Their goal is to help decision-makers identify the potential impact and magnitude of climate-related risks and develop possible mitigation strategies. We chatted with the organization’s chairman, Brendan Reilly, to learn how its Sustainable Africa Initiative (SAI) is empowering agricultural experts in Nigeria to analyze climate risk models on Amazon Web Services (AWS) to prevent future food insecurity in their local communities.