Category: Generative AI

The Generative AI Sandbox on AWS, powered by Amazon Bedrock Studio, provides a secure, governed, and isolated environment for organizations to explore the power of large language models (LLMs) and other generative artificial intelligence capabilities. Bedrock Studio users can test different LLMs side by side to understand which ones best suit their specific use cases: from drafting policy documents to analyzing public feedback, or creating educational content.

A recent study by Amazon Web Services and Market Connections reveals that 89 percent of public sector leaders consider adopting generative AI important for their organizations, with 43 percent interested in using it to improve operational efficiency. As generative AI reshapes public services, AWS offers comprehensive support and resources, including a $50 million initiative, to help organizations navigate adoption challenges and accelerate innovation in support of critical missions.

On October 24, 2024, the White House released a National Security Memorandum (NSM) on Artificial Intelligence (AI), which focuses on ensuring US leadership in developing advanced AI technologies. Amazon Web Services (AWS) is uniquely positioned to address the critical needs of the defense and national security customers in advancing their AI capabilities. Our comprehensive suite of AI and high performance computing (HPC) capabilities offers flexible and robust solutions to meet the NSM’s goals and empower national security missions.

The Taylor Geospatial Institute (TGI) and Amazon Web Services (AWS) are joining forces to accelerate geospatial data breakthroughs powered by generative artificial intelligence (AI). Through the Generative AI for Geospatial Challenge, they aim to inspire and nurture groundbreaking solutions coming from the convergence of geospatial data, cloud computing, and AI models. Read this post to learn more.

Generative artificial intelligence (AI) has revolutionized how we work and is reshaping the workforce of the future. However, a recent study conducted by Access Partnership for AWS revealed that 81 percent of Malaysia’s employers struggle to find the AI talent they need, despite nine in 10 stating that hiring AI-skilled talent is a priority for them. To address the nation’s AI skills gap, AWS and Jabatan Pendidikan Politeknik & Kolej Komuni (JPPKK), an agency under Malaysia’s Ministry of Higher Education (MOHE), teamed up to introduce new training initiatives targeting both educators and students to uplift Malaysia’s TVET (technical and vocational education and training) community.

On December 2, the Amazon Web Services (AWS) re:Invent conference returns to Las Vegas for our 13th year of learning with cloud enthusiasts from around the world. This flagship AWS event unites global visionaries to explore the latest technologies redefining what’s possible for their missions. For our public sector pioneers, tailored sessions and activations will amplify your re:Invent experience, and this post will help you to start charting your personalized agenda today.

The 2024 version of the United Nations (UN) annual report “The State of Food Security and Nutrition in the World” found that about 29.6 percent of the global population, or about 2.4 billion people, were moderately or severely food insecure in 2022, meaning they did not have adequate access to food. Food security can be caused by a number of factors, including poverty, inflationary factors, violent conflict, and the effects of climate change. In this post, we demonstrate how generative artificial intelligence (AI) can help organizations better understand the food security crisis.

Leaders in higher education recognize that generative artificial intelligence (AI), machine learning (ML), cloud computing, and other advanced technologies are rapidly changing how education and research happen on campus. Whether through data-driven administrative decision-making, generative AI infrastructure for research, or enhanced learning tools for the classroom, higher education institutions are developing and applying technology in innovative and helpful ways. Some of these examples will be shared at the EDUCAUSE Annual Conference from October 21-24 in San Antonio.

Efficiently addressing internal customer support tickets can profoundly impact an organization’s productivity and employee well-being, apart from their ability to focus on the mission at hand. To meet these demands, many nonprofits, such as Thorn, are turning to innovative technology solutions. In this post, we explore how Thorn used Amazon Web Services (AWS) in conjunction with generative artificial intelligence (AI) to revolutionize their internal customer support for organization-wide IT, security, and engineering.

Amazon Web Services (AWS) Wickr is an end-to-end encrypted messaging and collaboration service with features designed to keep internal and external communications secure, private, and compliant. In this post, we present an architecture that uses the Wickr messaging solution for protected communication with a generative AI backend system, which uses an existing open source project: the AWS GenAI Chatbot. Read this post to learn more.