Category: Amazon Simple Storage Service (S3)

In this post, we show how EHR companies, healthcare independent software vendors (ISVs), and tech-enabled provider organizations can use Amazon Connect Health to embed these capabilities into their existing workflows using a single, unified Software Development Kit (SDK).

Learn how AWS showcased a proven path to staying ahead of consumer expectations — from compressing innovation cycles to delivering the personalized experiences that drive loyalty at the 2026 National Retail Federation Big Show with the Luggage Lab.

Learn how to transform collections operations for banks and fintechs with AI and ML on AWS The Business Challenge Financial institutions face mounting pressure in collections operations. Traditional debt collection operates on a simple playbook: aggressive phone calls, generic messaging, and rule-based workflows. Yet customers have unique capacity to pay (income, assets, competing obligations), willingness […]

Organizations around the world are growing their usage of Microsoft Teams every year. Currently Microsoft Teams has 320 million users across more than 1 million organizations. Microsoft Teams has multiple uses including file storage and user communication. Companies that are focused on industrial areas such as oil and gas will experience users discussing various topics […]

Autonomous Vehicles (AV) development has been maturing and is advancing through clear architectural changes: AV 1.0: classical modular stacks (perception → prediction → planning → control) with hand-engineered interfaces AV 2.0: multi-modal LLM end-to-end (E2E) learned stacks that reduce modularity and improve scaling with data AV 3.0: end-to-end reasoning VLA (Vision–Language–Action) systems that perceive, reason, […]

Bioinformatics workflows are computationally expensive, often running for hours to days. When these workflows fail mid-execution or require iterative refinement, rerunning from scratch wastes significant time and compute resources. AWS HealthOmics call caching solves this challenge by intelligently saving and reusing completed task outputs, enabling workflows to resume from failure points rather than restarting entirely. […]

Machine learning (ML) models operate directly in the critical path of ad delivery, influencing bidding, pricing, and campaign optimization under strict latency, reliability, and correctness requirements. These models are trained frequently on large volumes of historical auction data and produce deterministic artifacts that downstream serving systems rely on for consistent behavior in production. Historically, Kargo, […]

Introduction Building production-ready agentic AI solutions can present significant challenges—from navigating complex architectures to establishing clear development patterns. The life sciences industry adds further complexity: strict regulations, diverse data modalities, and the variety of diseases all require additional time and specialized approaches. At AWS, we believe there’s a better path forward. AWS continues to invest […]

Cloud technology enables sustainable energy pioneers to accelerate their transition to sustainable fuels, while maintaining operational excellence and their competitive advantage in an evolving energy landscape. We will explore how energy companies are leveraging Amazon Web Services (AWS) to revolutionize their supply chain for sustainable fuel and in particular hydrotreated vegetable oil (HVO). Energy companies […]

In part 1- Healthcare Industry lens, we shared an overview of the impact of the European Union (EU) Data Act on Healthcare IoT, Act core requirements, and demonstrated how Amazon Web Services (AWS) services can be used to create data workflows to support efforts to meet requirements. Technical implementation guide Now that you’ve learned about […]