AWS Storage Blog

Category: Artificial Intelligence

Amazon S3 Tables

Implementing conversational AI for S3 Tables using Model Context Protocol (MCP)

In today’s data-driven world, the ability to interact with your data through natural language is becoming increasingly valuable. By combining the power of conversational AI with Amazon S3 Tables, organizations can democratize data access and enable individuals across technical skill levels to query, analyze, and gain insights from their data using simple conversations. Model Context […]

Architecting scalable checkpoint storage for large-scale ML training on AWS

The exponential growth in size and complexity of foundation models (FMs) has created unprecedented infrastructure demands across compute, networking, and storage resources. Storage systems, in particular, face intense requirements for throughput, latency, and capacity. In machine learning (ML) model training, these storage demands are particularly evident in checkpointing—a critical reliability mechanism that periodically saves and […]

Amazon S3 Tables

How to consume tabular data from Amazon S3 Tables for insights and business reporting

When was the last time you found yourself trying to look at rows and rows of data in a spreadsheet struggling to interpret and draw conclusions? Many analysts and engineers experience the same challenge every day. Whether it’s analyzing sales trends, monitoring operational metrics, or understanding customer behavior, the challenge lies not just in interpreting […]

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Automating paper-to-electronic healthcare claims processing with AWS

Health plans process billions of claims electronically each year. Council for Affordable Quality Healthcare (CAQH) estimates that approximately 10% of claims still arrive as paper documents, accounting for hundreds of millions of paper submissions annually in the U.S. These paper claims create processing bottlenecks and consume a disproportionate share of operational costs and resources, with […]

Amazon S3 Tables

How Pendulum achieves 6x faster processing and 40% cost reduction with Amazon S3 Tables

Pendulum is an AI-powered analytics platform that aggregates and analyzes real-time data from social media, news, and podcasts. Designed to help organizations stay ahead, it enables reputation monitoring, early crisis detection, and influencer activity tracking. Using machine learning (ML) enables Pendulum to surface key insights from multiple channels, providing a comprehensive view of the digital […]

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Integrating custom metadata with Amazon S3 Metadata

Organizations of all sizes face a common challenge: efficiently managing, organizing, and retrieving vast amounts of digital content. From images and videos to documents and application data, businesses are inundated with information that needs to be stored securely, accessed quickly, and analyzed effectively. The ability to extract, manage, and use metadata from this content is […]

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Use generative AI to query your Amazon S3 data lake for insights

Businesses store large volumes of data in their data lakes and rely on this data to extract insights and make important business decisions. However, business stakeholders sometimes lack the technical skills required to run complex queries against their data lakes. Instead, they rely on data scientists or analysts to build reports and dashboards or to […]

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How Fetch reduced latency on image uploads using Amazon S3 Express One Zone

Fetch provides a convenient and rewarding platform for consumers to earn points and redeem them for various goods and services, making it an attractive option for those looking to maximize the value of their everyday purchases. Fetch’s users use a simple interface to upload their receipts for scanning and earn points for every receipt they […]

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Siemens builds Datalake2Go on AWS to analyze disparate data globally

Siemens is a technology company focused on industry, infrastructure, transport, and healthcare. From resource-efficient factories, resilient supply chains, and smart buildings and grids, to cleaner and more comfortable transportation and advanced healthcare, the company creates technology with purpose, adding real value for its customers. Siemens technology is everywhere, supporting the critical infrastructure and vital industries […]

Optimizing enterprise MLOps in the cloud with Domino Data Lab and Amazon Elastic File System

Domino Data Lab is an AWS Partner Network (APN) partner that provides a central system of record for data science activity across an organization. The Domino solution delivers orchestration for all data science artifacts, including AWS infrastructure, data and services. As part of the solution, Domino’s platform leverages the scale, security, reliability, and cost-effectiveness of […]