Flipboard

APRIL 23, 2025

Solution overview The NER & LLM Gen AI Application is a document processing solution built on AWS that combines NER and LLMs to automate document analysis at scale. The system then orchestrates the creation of necessary model endpoints, processes documents in batches for efficiency, and automatically cleans up resources upon completion.

AWS 110

AWS ML ML AI 110

AWS Machine Learning Blog

FEBRUARY 13, 2025

A/B testing and experimentation Data science teams can systematically evaluate different model-tool combinations, measure performance metrics, and analyze response patterns in controlled environments. AWS Lambda functions for executing specific actions (such as submitting vacation requests or expense reports).

AI 98

AI AI AWS ML 98

AWS Machine Learning Blog

JANUARY 10, 2024

In this post, we discuss how the AWS AI/ML team collaborated with the Merck Human Health IT MLOps team to build a solution that uses an automated workflow for ML model approval and promotion with human intervention in the middle. A model developer typically starts to work in an individual ML development environment within Amazon SageMaker.

ML 129

ML ML AWS Machine Learning 129

AWS Machine Learning Blog

MAY 23, 2023

In this post, we start with an overview of MLOps and its benefits, describe a solution to simplify its implementations, and provide details on the architecture. We finish with a case study highlighting the benefits realize by a large AWS and PwC customer who implemented this solution. The following diagram illustrates the workflow.

Machine Learning 101

Machine Learning Machine Learning AWS ML 101

Data Science 101

AUGUST 31, 2023

We’re just big fans of effortless team collaboration It’s a dev tool designed to enhance distributed software development by providing a collaborative and visual tool for managing complex system architectures. About 10 years ago I began thinking about a platform like this to make working on distributed software easier.

System Architecture 116

System Architecture AWS 116

Flipboard

DECEMBER 6, 2023

These datasets are often a mix of numerical and text data, at times structured, unstructured, or semi-structured. needed to address some of these challenges in one of their many AI use cases built on AWS. This would have required a dedicated cross-disciplinary team with expertise in data science, machine learning, and domain knowledge.

SQL 168

SQL Database AWS Machine Learning 168

Pickl AI

DECEMBER 10, 2024

The systems architecture combines Oracles hardware expertise with software optimisation to deliver unmatched performance. Market Competition Oracle faces competition from alternative solutions like AWS, Microsoft Azure, and SAP HANA. Core Features Exalytics is engineered for speed and scalability.

Database 52

Database Analytics Analytics Business Intelligence 52