Category: HAQM Machine Learning

This post explores how Smartsheet successfully deployed Roo Code with HAQM Bedrock and Anthropic’s Claude, achieving significant improvements in developer efficiency while optimizing costs through innovative caching strategies.

In this blog post, we introduce a reference architecture that offers an intelligent document digitization solution that converts handwritten notes, scanned documents, and images into editable, searchable, and accessible formats. Powered by Anthropic’s Claude 3 on HAQM Bedrock, the solution uses the sophisticated vision capabilities of LLMs to process a wide range of visual formats, preserving the original formatting while extracting text, tables, and images.

In this post, we identify the components of an efficient architecture review process, define what an ARB is, and describe how to build and operate an effective enterprise ARB.

This blog post will show you how to use the power of ML to build a fraud-detection model using HAQM SageMaker Canvas, a no-code/low-code ML service that business analysts and domain experts can use to build, train, and deploy ML models without requiring extensive ML expertise.

In this post, we show how Clario uses the AWS platform to accelerate clinical document analysis.

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 […]

This post explores how HAQM 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.

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 HAQM Simple Storage Service (HAQM S3) in 2006, […]

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 process petabyte-scale datasets on large pools of compute resources. In this blog post, we discuss how life science organizations can use HAQM 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 […]