Category: HAQM Machine Learning

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 […]

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 […]

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 […]