Category: Amazon Machine Learning

Smart product manufacturers are at a critical transformation point. With Gartner predicting that 80% of AI models will be industry-specific by 2027, and their recent analysis showing that AI-enabling cloud services are the future of cloud infrastructure, companies can no longer rely solely on traditional hardware sales to maintain competitive advantage. The shift toward digital […]

AWS HealthImaging now supports OpenID Connect authentication, making it quicker to integrate with medical imaging applications. While AWS HealthImaging has traditionally used AWS Signature Version 4 (SigV4) for authentication, many medical imaging applications are designed to work with standard web authentication protocols, such as OpenID Connect. By adding OpenID Connect support alongside SigV4, AWS HealthImaging […]

The payments industry stands at a transformative inflection point. Traditional payment systems built on rigid rules, manual processes, and legacy infrastructure find it difficult to navigate the evolving landscape of modern commerce. Today’s payment ecosystem demands solutions that handle increasing complexity while delivering the seamless, contactless, and autonomous experiences customers expect. Financial institutions have long […]

As healthcare leaders and radiologists from around the world gather at the Radiological Society of North America (RSNA) Annual Meeting, Amazon Web Services (AWS) is proud to showcase how cloud technology is revolutionizing medical imaging. In an era where diagnostic precision and clinical efficiency are paramount healthcare organizations are leveraging the secure, scalable infrastructure of […]

As shopping agents powered by artificial intelligence (AI) evolve from novelty to necessity, they promise to fundamentally reshape how consumers discover and purchase products. These intelligent digital assistants will soon be able to navigate multiple marketplaces simultaneously and make split-second purchasing decisions based on complex criteria including price, quality, availability, and consumer preference. For enterprise […]

Today’s retailers and brands face mounting pressure to manage vast libraries of digital assets while ensuring the content they invest in delivers business value. Without the ability to deliver meaningful, data-driven insights, traditional Digital Asset Management (DAM) solutions often fall short, leaving organizations struggling to truly understand and optimize content performance. In this post, we’ll […]

Every day, healthcare organizations navigate a complex web of administrative requirements, including prior authorizations, that pull providers away from patient care. Strands Agents are a solution to these challenges by providing an open-source SDK that builder organizations and system integrators can use to create specialized AI agents. These agents can transform healthcare workflows from sources […]

For most manufacturers today, quality control of manufactured products often relies on workers manually visually inspecting the product(s), introducing inconsistency and increasing labor costs. Automated machine learning (ML) and computer vision (CV) solutions require extensive training data as well as continuous fine-tuning, which creates adoption barriers especially for small and medium-sized manufacturers. This blog post […]

Inocras, a genomic analysis company founded in 2020, has transformed how they process whole genome data. They achieved a 72% reduction in analysis costs and 47% improvement in processing speed after migrating to AWS HealthOmics. Operating out of San Diego, Seoul, Daejeon, and Hong Kong, the company specializes in whole genome sequencing (WGS), which reads […]

Healthcare payors face unprecedented challenges during open enrollment periods. With millions of member records flooding in through diverse channels and formats, from EDI 834 transactions to scanned PDFs—traditional enrollment systems often buckle under the strain. Processing bottlenecks emerge, manual intervention skyrockets, and member satisfaction suffers during this critical period. However, these challenges are not inevitable. […]