Category: Amazon Simple Storage Service (S3)

The U.S. banking industry is entering one of its most transformative periods. Rapid shifts in interest rates are reshaping margins, commercial real estate (CRE) exposures demand sharper insights, and regulators are raising the bar for speed and transparency. For banking leaders, these dynamics represent not just challenges to navigate, but opportunities to differentiate. In this […]

This is the second blog in our series on factor modeling. In our first factor modeling blog, we developed a framework to mine quickly new factors using Amazon Bedrock, AWS Batch, and Step Functions from alternative data. Read more about that approach. After discovering effective factors, the natural next step is to incorporate these factors […]

Introduction In working with insurance providers, we have observed a consistent challenge: making complex policy information accessible and understandable to customers across their preferred channels. When customers seek coverage details, they often encounter dense policy documents, generic chatbot interactions, or lengthy call wait times. These friction points create customer frustration, drive up operational costs, and […]

Have you ever wondered when a nurse draws blood from you or you deposit a urine sample, how the sample is handled from there? Typically, laboratory samples change hands multiple times before the actual testing occurs. Research also indicates that mislabeling, mishandling, and loss of specimens during surgical procedures occur frequently and over 73% of […]

AWS re:Invent 2025, our flagship annual conference, took place December 1–5, 2025, delivering five days of keynotes, breakout sessions, product announcements, and live demos, introducing several new services and features. This recap focuses on the most relevant highlights for automotive and manufacturing: the core announcements, real-world customer examples, and featured demos. Everything is organized by […]

Introduction Data mesh emerges as a transformative architectural paradigm that revolutionizes how organizations manage and share data across domains. By treating data as a product and decentralizing ownership to domain teams, data mesh enables scalable, secure, and efficient data sharing while preserving domain autonomy. This blog is intended for data architects and technical leaders who […]

Developing autonomous driving (AV) and advanced driver assistance systems (ADAS) requires automotive OEMs and Tier 1 suppliers to collect petabytes of real-world driving data. This data is typically uploaded by OEMs or Tier 1 suppliers to cloud providers such as AWS, where it is analyzed, used to train AI models, and used for Software in […]

Enterprises often struggle with fragmented and inconsistent consumer data spread across multiple applications. This can create challenges in achieving trusted, unified views of your customers that power important functions, such as compliance reporting, analytics, and consumer engagement. Amazon Web Services (AWS) Entity Resolution helps companies quickly match, link, and enhance related customer records so organizations […]

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 […]