Category: Amazon Simple Storage Service (S3)

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 […]

Introduction Frontier Communications is the largest pure-play fiber provider in the United States with 3.2 million broadband subscribers across 25 states and over 12,000 employees. The Retention & Loyalty group ensure our customers remain delighted by optimizing the customer journey, reducing churn, and improving Lifetime Value (LTV). As data scientists, we use the Amazon Web […]

Modernizing legacy financial systems for regulatory compliance requires careful architectural planning and proven cloud solutions. This post shows you how Angel One transformed a fragile, stored-procedure-driven back office into a cloud-native, auditable system on AWS. You’ll learn the architecture, challenges, and results of building a post-trade reporting platform that processes 30 million records daily while […]

Introduction Financial institutions face a critical challenge: protecting sensitive data at scale while enabling innovation. This post provides guidance for detecting and processing sensitive data within your financial data lake on AWS, helping you maintain compliance without sacrificing agility. Data lakes have grown exponentially in the financial services industry, fueled by cloud computing. Cloud offers […]

Five years ago, growing your brand online meant fine-tuning keywords and vying for prime spots in search results. Now, the game has changed: AI platforms are transforming how shoppers discover products, get recommendations, and make decisions. Today, instead of typing “best running shoes,” consumers simply ask their favorite AI, “What running shoes should I buy?” […]

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 […]