Tag: Machine Learning

From training to supporting the front line, Amazon Web Services (AWS) can provide solutions to help solve the challenges that formations, units, and allies face. More than just providing computer and storage capability in the cloud, AWS can help intelligence, planning and operations teams leverage newer, cost-effective artificial intelligence (AI) and machine learning (ML), analytics, simulations, and other technologies.

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.

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.

Rideshare demand prediction is a well-explored topic in academia and industry, with abundant online resources offering diverse modeling frameworks tailored to different geographic contexts. A challenge with rideshare demand prediction, however, is that the trip data required to calibrate or train models can be exceptionally large. In this post, we explore the challenges of big data analytics and showcase how ArcGIS GeoAnalytics Engine, a spatial analytics library for the Apache Spark environment, can be used on Amazon EMR to effectively address these problems.

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.

In August 2024, Amazon Web Services (AWS) convened more than 65 Defense Industrial Base (DIB) companies at Amazon’s HQ2 in Arlington, Virginia for the inaugural AWS Defense Industry Forum. The DIB consists of more than 100,000 companies and subcontractors, which support the U.S. Department of Defense (DoD), and AWS joins forces with DIB partners to provide global infrastructure and cutting-edge technology to outpace our adversaries. Read this post to learn more about the two-day event.

Acentra Health helps Medicare beneficiaries file quality of care complaints and appeals regarding early hospital discharge or early termination of skilled services. Processing these cases requires meticulous data entry from patient records and forms related to prior authorization notices, patient care, and case management, which often consist of complex medical history. To better support its clients, Acentra Health implemented an intelligent document processing (IDP) solution using Amazon Web Services (AWS). Read this post to learn how their IDP solution reduced document processing times and lowered costs.

Amazon Web Services (AWS) is proud to be a healthcare and technology partner for the Cancer AI Alliance (CAIA), a new initiative announced today. The CAIA is a consortium of four National Cancer Institute (NCI)-designated cancer centers, led by the Fred Hutch Cancer Center, and leading technology and service companies. AWS is contributing a total of $10 million towards the more than $40 million in funding that helps establish the CAIA.

Companies across all industries face a multitude of challenges in their operations, many of which can be addressed through innovative uses of technology. By implementing use cases tailored to their specific needs, organizations can drive efficiencies, mitigate risks, and create competitive advantages. This comprehensive post explores some high-impact use cases with the corresponding Amazon Web Services (AWS) solution that can transform public sector industries.

The Natural History Museum (NHM) in London is a world-class visitor attraction and a leading science research center. NHM and Amazon Web Services (AWS) have partnered up to transform and accelerate scientific research by bringing together a broad range of biodiversity and environmental data types in one place for the first time. In an earlier post, we discussed NHM’s overall vision for using open data in combination with large-scale compute, data systems, and machine learning (ML) to create the Planetary Knowledge Base (PKB), a knowledge graph of global biodiversity. In this post, we focus on the underlying services and architecture that comprise the PKB.