Category: Thought Leadership

Applications and user experiences are poised to be reinvented with generative artificial intelligence (AI), and the public sector is no exception. Governments, education institutions, nonprofits, and health systems must constantly adapt and innovate to meet the changing needs of their constituents, students, beneficiaries, and patients. If used responsibly, this powerful technology can open doors to endless possibilities to increase creativity, productivity, and progress.

Andrés Tahta, managing director for Latin America public sector industry sales at Amazon Web Services (AWS), is an inspirational trailblazer who has devoted his career to uniquely solving tough problems with the power of technology. In the sixth episode of the AWS Behind the Cloud vodcast series, host Sarah Storelli interviewed Tahta about how generative AI is driving new levels of productivity and insights, and transforming offerings to foster continued innovation in Latin America.

Access Partnership recently conducted a study commissioned by Amazon Web Services (AWS) on AI skills across various industries globally—including education. The study found that employers and employees in the education sector anticipate that AI utilization will improve productivity by more than one-third. Read this post to learn more about this finding, and others, and what it means for the education sector.

In honour of Women’s History Month, Amazon Web Services (AWS) celebrates female leaders who inspire and empower women and girls in STEM. Their stories demonstrate technical excellence, leadership, collaboration, and mentorship – values that create an inclusive culture where all can thrive. The United Nations’ (UN) theme for this year’s International Women’s Day was “Invest […]

The right cloud technology leads to more sustainable IT and business operations. As a foundation for innovation, the cloud supports the delivery of sustainable products, services, and business models, and gives organizations the opportunity to transform themselves with sustainability at the core of their operation. The scope of the cloud’s role in sustainability is highlighted in a recent series of AWS Institute masterclasses and summarized in this blog post.

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.

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.

The Amazon Web Services (AWS) Marketplace is a leading software as a service (SaaS) marketplace that houses thousands of third-party software, data, and services that run on AWS. Despite the rapid growth of software marketplace usage in recent years, some state and local government (SLG) purchasers are holding back. This post debunks the most common myths keeping SLG agencies from embracing software marketplaces.

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.

According to the Government Accountability Office (GAO), the federal government’s 10 legacy systems most in need of modernization cost about $337 million a year to operate and maintain, which accounts to a $2.4 billion spend on legacy systems by 2030. Read this blog post to learn how organizations can leverage Amazon Web Services (AWS) to maximize value as they evaluate their mainframe modernization strategy.