Tag: Machine Learning

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.

Earlier this month, for the first time, the IMAGINE: Nonprofit conference was hosted in Australia in Melbourne, Sydney, and Brisbane. This event brought together leaders, technologists, and mission-driven innovators in the nonprofit sector to learn, connect, and inspire. Over the three days, attendees explored the ways technology helps nonprofits make a positive impact around the world. Read this post to learn about some of the top moments from IMAGINE: Nonprofit Australia.

As Australia moves forward with a national framework for the assurance of artificial intelligence (AI) in government, Amazon Web Services (AWS) is committed to helping our customers implement AI solutions that align with Australia’s AI Ethics Principles. This post outlines how AWS tools and services can support government agencies in adhering to Australia’s AI Ethics Principles when developing AI and machine learning (ML) solutions. The post includes a focus on implementation to help Australian governments responsibly innovate whilst maintaining cloud-based agility.

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.