AWS Storage Blog
Category: Artificial Intelligence
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 […]
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 […]
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 […]
How Visual Layer builds high quality datasets on Amazon S3
Companies from different industries use data to help their Artificial Intelligence (AI) and Machine Learning (ML) systems make intelligent decisions. For ML systems to work well, it is crucial to make sure that the massive datasets used for training ML models are of the highest quality, minimizing noise that can contribute to less-than-optimal performance. Processing […]
Accelerating GPT large language model training with AWS services
GPT, or Generative Pre-trained Transformer, is a language model that has shown remarkable progress in various vertical industries. This technology has been used to generate human-like text in fields such as finance, healthcare, legal, marketing, and many others. In finance, GPT is being used to analyze financial data, generate reports, and assist with decision-making. In […]
Machine Learning with Kubeflow on Amazon EKS with Amazon EFS
Training Machine Learning models involves multiple steps, it gets more complex and time consuming when the size of the data set for training is in the range of 100s of GBs. Data Scientists run through large number of experiments and research which includes testing and training large number of models. Kubeflow provides various ML capabilities […]
High-performance cloud storage comes of age with Amazon FSx for Lustre
The rapid maturation of cloud tools for high-performance workloads in the past several years has made it possible for household names like T-Mobile, Toyota, and Rivian to move their high-performance analytics and AI/ML environments to the cloud. These are hugely data-intensive workflows that many companies five years ago believed would never be able to be […]
A gene-editing prediction engine with iterative learning cycles built on AWS
NRGene develops cutting-edge genomic analytics products that are reshaping agriculture worldwide. Among our customers are some of the biggest and most sophisticated companies in seed-development, food and beverages, paper, rubber, cannabis, and more. In the middle of 2020, NRGene joined a consortium of companies and academic institutions to build the best-in-class gene-editing prediction platform to […]
Reliable event processing with Amazon S3 Event Notifications
As AWS Solutions Architects, we help customers understand and plan AWS architectures that meet their business goals while remaining scalable, cost effective, secure, and reliable. One common pattern that comes up frequently is the desire to move from manual or polling-based strategies to reliable events processing, also known as event-driven architecture (EDA). This approach dovetails […]