AWS Architecture Blog

Category: Artificial Intelligence

Intelligent search bot for enterprise document management systems

Simplify document search at scale with intelligent search bot on AWS

Enterprise document management systems (EDMS) manage the lifecycle and distribution of documents. They often rely on keyword-based search functionality. However, it increasingly becomes hard to discover documents as such repositories grow to tens of thousands of items. In this blog, we discuss how Amazon Web Services (AWS) built an intelligent search bot on top of […]

Let's Architect

Let’s Architect! Tools for developers

In the software development process, adopting developer tools makes it easier for developers to write code, build applications, and test more efficiently. As a developer, you can use various AWS developer tools for code editing, code quality, code completion, and so on. These tools include Amazon CodeGuru for code analysis, and Amazon CodeWhisper for getting coding recommendations powered by machine learning algorithms.

In this edition of Let’s Architect!, we’ll show you some tools that every developer should consider including in their toolkit.

X-ray images are sent to AWS HealthImaging and an Amazon SageMaker endpoint extracts insights.

Improving medical imaging workflows with AWS HealthImaging and SageMaker

Medical imaging plays a critical role in patient diagnosis and treatment planning in healthcare. However, healthcare providers face several challenges when it comes to managing, storing, and analyzing medical images. The process can be time-consuming, error-prone, and costly. There’s also a radiologist shortage across regions and healthcare systems, making the demand for this specialty increases […]

Technical architecture for implementing multi-lingual semantic search functionality

Content Repository for Unstructured Data with Multilingual Semantic Search: Part 2

Leveraging vast unstructured data poses challenges, particularly for global businesses needing cross-language data search. In Part 1 of this blog series, we built the architectural foundation for the content repository. The key component of Part 1 was the dynamic access control-based logic with a web UI to upload documents. In Part 2, we extend the […]

AI/ML hybrid data access strategy reference architecture

Designing a hybrid AI/ML data access strategy with Amazon SageMaker

Over time, many enterprises have built an on-premises cluster of servers, accumulating data, and then procuring more servers and storage. They often begin their ML journey by experimenting locally on their laptops. Investment in artificial intelligence (AI) is at a different stage in every business organization. Some remain completely on-premises, others are hybrid (both on-premises […]

Machine Learning Lens

Introducing the latest Machine Learning Lens for the AWS Well-Architected Framework

Today, we are delighted to introduce the latest version of the AWS Well-Architected Machine Learning (ML) Lens whitepaper. The AWS Well-Architected Framework provides architectural best practices for designing and operating ML workloads on AWS. It is based on six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and—a new addition to this revision—Sustainability. The […]

AI-based intelligent document processing engine

Optimizing data with automated intelligent document processing solutions

Many organizations struggle to effectively manage and derive insights from the large amount of unstructured data locked in emails, PDFs, images, scanned documents, and more. The variety of formats, document layouts, and text makes it difficult for any standard Optical Character Recognition (OCR) to extract key insights from these data sources. To help organizations overcome […]

The SOLVED project system architecture

Detecting solar panel damage with Amazon Rekognition Custom Labels

Enterprises perform quality control to ensure products meet production standards and avoid potential brand reputation damage. As the cost of sensors decreases and connectivity increases, industries adopt real-time imagery analysis to detect quality issues. At the same time, artificial intelligence (AI) advancements enable advanced automation, reduce overall cost and project time, and produce accurate defect […]

Adverse events reporting architecture diagram

Automating adverse events reporting for pharma with Amazon Connect and Amazon Lex

Every pharmaceutical company manufacturing medicine must provide customers nationwide with a method to report adverse events following medicine usage as well as emergency assistance as needed. To comply with regulatory policy and enable an Adverse Events Reporting System (AERS), pharma companies must provide dedicated, toll-free phone numbers and contact center agents to handle inbound calls. […]