Category: Compute

Introduction Mastercard’s AI-powered real-time fraud prevention platform, Brighterion, has been delivering advanced fraud detection and risk management solutions to enterprise customers for over 20 years. Trusted by more than 2,000 clients worldwide, including 74 of the top 100 U.S. banks, Mastercard’s Brighterion AI platform scores over 150 billion transactions annually, helping organizations prevent fraud while […]

In today’s rapidly evolving healthcare technology landscape, managing patient data securely and efficiently is crucial. We’ll explore the implementation of multi-tenant FHIR (Fast Healthcare Interoperability Resources) solutions using Amazon Web Services (AWS) HealthLake, a robust service for healthcare organizations seeking to scale their data management capabilities. Defining key terms We will be diving into technical […]

The healthcare industry faces mounting challenges—workforce shortages, clinical burnout, and a rise in chronic conditions. Additionally, monitoring patients post-discharge (ensuring treatment plan adherence and preventing readmissions) are resource-intensive tasks that drive up costs and can be prone to error. New remote patient monitoring technologies can play a crucial role in addressing these challenges. With 90 […]

The healthcare industry is increasingly migrating to the cloud to enhance service delivery, ensure compliance, and improve patient outcomes. However, managing cloud costs effectively is crucial to maximize the value of these investments. Healthcare applications often have unique requirements that make them challenging to refactor into serverless or containerized architectures. These applications may have dependencies […]

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, […]

Introduction Seismic processing is a high-performance computing workflow to enhance, image, and understand subsurface structure. Modern high density 3D seismic data acquisition methods need 10-100 times more compute power for processing and imaging as compared to previous generation seismic acquisition methods. In return, geologists get improved geological resolution details such as thin beds, subtle faults, […]

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 […]

Organizations across industries face the challenge of processing a substantial volume of invoices while maintaining accuracy and compliance. Holcim, a global leader in innovative and sustainable building solutions, tackled this challenge by developing an innovative solution using Amazon Bedrock that transformed their invoice processing operations.  The Challenge Holcim’s operations in one European country managed a […]

Introduction: Enterprises today confront a significant challenge: the proliferation of disparate data sources and siloed data across hybrid cloud environments. Extracting meaningful insights using generative AI tools has become increasingly arduous because data proliferates across heterogeneous distributed systems and formats. Customers have asked for programmable and secure connectivity to enable generative AI applications in the […]

Note from the Authors: At Mobile World Congress Barcelona 2025, the GSMA hosted a generative AI summit featuring industry leaders across the globe including McKinsey, NVIDIA, and others. In our jointly-hosted fireside chat, we had the chance to talk about a unique symbiosis of telecom and Cloud that we coined Networks for AI, AI for […]