AWS Architecture Blog
Category: Artificial Intelligence
Use generative AI on AWS for efficient clinical document analysis
In this post, we show how Clario uses the AWS platform to accelerate clinical document analysis.
Top Architecture Blog Posts of 2024
Well, it’s been another historic year! We’ve watched in awe as the use of real-world generative AI has changed the tech landscape, and while we at the Architecture Blog happily participated, we also made every effort to stay true to our channel’s original scope, and your readership this last year has proven that decision was […]
Transform lease agreement workflows with Amazon Bedrock
This post explores how Amazon Bedrock can transform property management operations and optimize costs. We examine a practical approach to tackle challenges such as processing high volumes of lease agreements, maintaining compliance with varied regulatory requirements.
Let’s Architect! Modern data architectures
Data is the fuel for AI; modern data is even more important for generative AI and advanced data analytics, producing more accurate, relevant, and impactful results. Modern data comes in various forms: real-time, unstructured, or user-generated. Each form requires a different solution. AWS’s data journey began with Amazon Simple Storage Service (Amazon S3) in 2006, […]
Simplify and automate bill processing with Amazon Bedrock
This post was co-written with Shyam Narayan, a leader in the Accenture AWS Business Group, and Hui Yee Leong, a DevOps and platform engineer, both based in Australia. Hui and Shyam specialize in designing and implementing complex AWS transformation programs across a wide range of industries. Enterprises that operate out of multiple locations such as […]
Genomics workflows, Part 7: analyze public RNA sequencing data using AWS HealthOmics
Genomics workflows process petabyte-scale datasets on large pools of compute resources. In this blog post, we discuss how life science organizations can use Amazon Web Services (AWS) to run transcriptomic sequencing data analysis using public datasets. This allows users to quickly test research hypotheses against larger datasets in support of clinical diagnostics. We use AWS […]
Let’s Architect! Learn About Machine Learning on AWS
A data-driven approach empowers businesses to make informed decisions based on accurate predictions and forecasts, leading to improved operational efficiency and resource optimization. Machine learning (ML) systems have the remarkable ability to continuously learn and adapt, improving their performance over time as they are exposed to more data. This self-learning capability ensures that organizations can […]
Let’s Architect! Discovering Generative AI on AWS
Generative artificial intelligence (generative AI) is a type of AI used to generate content, including conversations, images, videos, and music. Generative AI can be used directly to build customer-facing features (a chatbot or an image generator), or it can serve as an underlying component in a more complex system. For example, it can generate embeddings […]
Genomics workflows, Part 6: cost prediction
Genomics workflows run on large pools of compute resources and take petabyte-scale datasets as inputs. Workflow runs can cost as much as hundreds of thousands of US dollars. Given this large scale, scientists want to estimate the projected cost of their genomics workflow runs before deciding to launch them. In Part 6 of this series, […]
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 […]