Category: Networking & Content Delivery

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 […]

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 […]

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, […]

In today’s fast-paced digital world, AUDI AG faces immense pressure to innovate rapidly. In 2023, the Audi Cloud Foundation Services (ACS) team, supported by Storm Reply, launched the first version of their generative AI chatbot solution. This solution was designed to reduce internal knowledge base retrieval time and improve employee productivity. For more details, see […]

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 […]

This post is co-written with Dino Padilla, Sr. Cloud Engineer, Skechers USA, and Gabriel Sandoval, Sr. Manager Cloud Platforms & GenAI, Skechers USA In early 2024, global footwear leader Skechers USA continued its cloud transformation journey. To address the infrastructure challenges that could threaten its growth, Skechers redesigned its AWS Cloud network. This blog post […]

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 […]

Retail customers are improving the in-store customer experience through personalization by connecting their remote stores to AWS using SD-WAN. For the largest specialty consumer electronics retailer in North America, Best Buy Co., Inc., connecting stores to cloud-based workloads has shortened application response times. It allows stores to sync up-to-date inventory, view real-time supply chain information […]

“Our BMW Operating System 9 – BMW’s fully virtualized Android Open-Source Project-based infotainment system running on AWS – allows us for the very first time to start the development of new in-vehicle software functions without needing access to the target hardware. This shift-left in our software development process also enables us to test earlier and […]

Generative artificial intelligence (AI) has the potential to transform how large companies do business. For enterprises, corporate information is often stored in silos managed by different teams. By combining large language models (LLMs) with robust knowledge bases, these organizations can create intelligent systems that not only store information but understand it—making company knowledge more accessible […]