Category: AWS PrivateLink

In this post, we describe a comprehensive, HIPAA-ready generative AI architecture for healthcare on Amazon Web Services (AWS) using a defense-in-depth approach. By layering compliance controls at multiple distinct levels, this architecture creates a system where no single point of failure compromises patient data protection, and each component that touches ePHI is independently auditable.

In this post, we present four production-hardening patterns (A-D) that extend Patterns 3 and 4 for payment workloads operating persistent session-based protocols. These patterns optimize connection reliability, maintenance workflows, tenant isolation, and observability at the infrastructure layer, benefiting organizations connecting to traditional payment rails through AWS PrivateLink and Resource Gateway.

Ericsson rApp as a Service – Redefining Network Optimization with Agentic AI The future of telecom networks is autonomous, intelligent, and cloud driven. Ericsson and AWS are taking a significant leap forward by introducing Ericsson rApp as a Service (rApp aaS), a pioneering solution designed to accelerate the journey towards autonomous networks for Communication Service […]

As Communication Service Providers (CSPs) increasingly adopt cloud-native architectures, the need for performant, reliable, and secure network load balancing solutions is essential. Amazon Web Services (AWS) offers services and capabilities to address these challenges. AWS Network Load Balancer (NLB) stands out with its ability to handle high throughput and low latency requirements. NLB provides robust […]

In the race to harness the transformative power of generative AI, Healthcare and Life Sciences (HCLS) organizations face a critical challenge: how to innovate rapidly while navigating complex regulatory requirements. Promising generative AI solutions are being developed to revolutionize everything from patient care to drug discovery. However, many organizations find themselves paralyzed at the intersection […]

AMI 2.0 has gained traction since the early 2020s, promising real-time insights, enhanced grid management, and demand response. By 2029, U.S. smart meter installations will reach 182.9 million, covering 94% of customers. However, AMI 2.0 isn’t just about meters, it demands high-bandwidth communication and scalable storage. A single meter now generates 1,440 data points daily, […]

This post is co-written with Rebecca Nissan, Sr. Delivery Solutions Engineer, Healthcare and Life Sciences, Field Engineering, Databricks. In today’s healthcare data-centric landscape, organizations face challenges (such as disparate data silos) across their electronic health records (EHRs), medical imaging, and other on-premises data warehouses. Healthcare data is growing at such a rapid rate that one […]

Legacy mainframe systems remain the backbone of many telecommunications (telco) operators, despite rapid technological evolution. These systems, combining proprietary and vendor-developed applications, remain critical for handling bulk data processing and large-scale transactions. These systems typically handle critical Business Support Systems (BSS) and Operational Support Systems (OSS) workloads, such as the highly transactional processes of rating, […]

Most practicing clinicians are not yet fully benefitting from the efficiency and diagnostic advances that medical imaging artificial intelligence (AI) promises. Additionally, many AI scientists and engineers struggle with the practical aspects of incorporating AI inferences in clinical workflows, and providing a consistent end-user experience when scaling to support millions of studies per year. Still, […]

Background: Energy companies are seeking methods to run engineering software in the cloud, especially those that need a significant amount of computing and storage resources in short periods of time to bring about simulation capacity instantaneously and reduce project turnaround (for example, Florida-based utility runs PROMOD, Siemens Simcenter customers run CFD, Ansys LS-DYNA customers run […]