AWS Compute Blog
Category: Artificial Intelligence
Getting started with RPA using AWS Step Functions and Amazon Textract
This post is courtesy of Joe Tringali, Solutions Architect. Many organizations are using robotic process automation (RPA) to automate workflow, back-office processes that are labor-intensive. RPA, as software bots, can often handle many of these activities. Often RPA workflows contain repetitive manual tasks that must be done by humans, such as viewing invoices to find […]
Building a serverless document scanner using Amazon Textract and AWS Amplify
This guide demonstrates creating and deploying a production ready document scanning application. It allows users to manage projects, upload images, and generate a PDF from detected text. The sample can be used as a template for building expense tracking applications, handling forms and legal documents, or for digitizing books and notes. The frontend application is […]
Using serverless backends to iterate quickly on web apps – part 3
Previously in this series, you deploy a simple workflow for processing image uploads in the Happy Path web application. In this post, you add progressively more complex functionality by deploying new versions of workflows.
Learn why AWS is the best cloud to run Microsoft Windows Server and SQL Server workloads
Fred Wurden, General Manager, AWS Enterprise Engineering (Windows, VMware, RedHat, SAP, Benchmarking) For companies that rely on Windows Server but find it daunting to move those workloads to the cloud, there is no easier way to run Windows in the cloud than AWS. Customers as diverse as Expedia, Pearson, Seven West Media, and RepricerExpress have […]
TensorFlow Serving on Kubernetes with Amazon EC2 Spot Instances
This post is contributed by Kinnar Sen – Sr. Specialist Solutions Architect, EC2 Spot TensorFlow (TF) is a popular choice for machine learning research and application development. It’s a machine learning (ML) platform, which is used to build (train) and deploy (serve) machine learning models. TF Serving is a part of TF framework and is […]
Building deep learning inference with AWS Lambda and Amazon EFS
This post shows how you can use EFS for Lambda to deploy large DL libraries and models into a function for synchronous invocations.
Adding voice to a CircuitPython project using Amazon Polly
An Adafruit PyPortal displaying a quote while synthesizing and playing speech using Amazon Polly. As a natural means of communication, voice is a powerful way to humanize an experience. What if you could make anything talk? This guide walks through how to leverage the cloud to add voice to an off-the-shelf microcontroller. Use it to […]
Automating scalable business workflows using minimal code
In this blog post, I show how to use a serverless application to build and manage enterprise workflows at scale. This minimal-code solution is highly scalable and flexible, and can be modified easily to meet your needs.
Translating documents at enterprise scale with serverless
Developing a scalable translation solution for thousands of documents can be challenging using traditional, server-based architecture. Using a serverless approach, this becomes much easier since you can use storage and compute services that scale for you.
Creating a searchable enterprise document repository
September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Enterprise customers frequently have repositories with thousands of documents, images and other media. While these contain valuable information for users, it’s often hard to index and search this content. One challenge is interpreting the data intelligently, and another issue is […]