Category: Artificial Intelligence

Karsun Solutions, an Amazon Web Services (AWS) Partner, modernizes legacy enterprise systems to elevate the capabilities of its government agency customers. Karsun has created a modernization platform called ReDuX, which uses generative artificial intelligence (AI) powered by Amazon Bedrock. This blog post provides an overview of Karsun’s approach, which enables enterprises to successfully transition their business functions from a mainframe to microservices on AWS.

Amazon Web Services (AWS) is excited to announce the release of a public-sector focused eBook on generative artificial intelligence (AI). Titled Get started with generative AI on AWS: A guide for public sector organizations, the new resource aims to help public sector leaders explore opportunities and best practices for adopting the technology responsibly.

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) hosted the AWS Sustainability Breakfast Briefing on February 20, 2024, in Dublin, Ireland, featuring a panel of sustainability experts from AWS customers and partners, as well as educational talks on important sustainability themes. The main takeaway is that sustainability transformation takes time – but every step along the journey can be meaningful. Read this blog post for a recap of key highlights from the briefing.

On March 20, the Amazon Web Services (AWS) IMAGINE: Nonprofit conference returns to the Washington, DC metropolitan area for our eighth year of learning with nonprofit leaders from around the world. This annual event inspires nonprofits to rethink what’s possible for their mission, through the latest innovations in the cloud. Discover new ideas, build connections, and interact with cutting-edge technology onsite. Whether it’s your first time attending, or your eighth, here are a few tips to make the most of IMAGINE: Nonprofit 2024.

Generative artificial intelligence (AI) allows anyone to leverage machine learning (ML) capabilities using natural language, and it is extremely intuitive to use. When users are able to search, analyze, and draw conclusions in seconds—from extensive information that exists across their organization or the internet—they can make more informed decisions at speed. This blog post takes a quick look at some of the generative AI considerations public sector organizations need to take.

On February 22, 2024, Amazon Web Services (AWS) hosted its first Federal Financial Services Artificial Intelligence (AI) Forum at Amazon HQ2 in Arlington, Virginia, convening leaders from the public sector and financial services industry. Read this blog post for a recap of the event, which covered the tremendous opportunities and challenges around AI with experts across public and private sector organizations.

Hong Kong Science and Technology Parks Corporation (HKSTP) and Amazon Web Services (AWS) announced the establishment of the first AWS Joint Innovation Center (JIC) in Hong Kong at last fall’s AWS Startup Day. AWS JIC is a collaborative innovation program designed to help enterprises and institutions combine resources, incubate promising startups, and nurture digital talent that further strengthens Hong Kong’s technology ecosystem.

Access Partnership recently conducted a study commissioned by Amazon Web Services (AWS) on artificial intelligence (AI) skills across various industries globally. The results underscored the need to address low rates of AI fluency among healthcare leaders and employees, and this blog post provides a summary and analysis of the study’s key findings.

Amazon Rekognition, a code-free automated machine learning (AutoML) service from Amazon Web Services (AWS), showed impeccable diagnostic performance in categorizing various retinal diseases using optical coherence tomography (OCT) scans. This blog post details the steps to use Amazon Rekognition Custom Labels to train a model that categorizes retinal diseases and the process of training and fine-tuning convolutional neural networks (CNNs), the standard deep learning methodology.