Favorite “Intelligent document processing (IDP) solutions extract data to support automation of high-volume, repetitive document processing tasks and for analysis and insight. IDP uses natural language technologies and computer vision to extract data from structured and unstructured content, especially from documents, to support automation and augmentation.”  – Gartner The goal

Read More
Shared by AWS Machine Learning December 2, 2022

Favorite Artificial intelligence (AI) is one of the most transformational technologies of our generation and provides huge opportunities to be a force for good and drive economic growth. It can help scientists cure terminal diseases, engineers build inconceivable structures, and farmers yield more crops. AI allows us to make sense

Read More
Shared by AWS Machine Learning December 1, 2022

Favorite This is a guest post co-written by Julian Blau, Data Scientist at xarvio Digital Farming Solutions; BASF Digital Farming GmbH, and Antonio Rodriguez, AI/ML Specialist Solutions Architect at AWS xarvio Digital Farming Solutions is a brand from BASF Digital Farming GmbH, which is part of BASF Agricultural Solutions division.

Read More
Shared by AWS Machine Learning December 1, 2022

Favorite Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. In addition to the interactive ML experience, data workers also seek solutions to run notebooks as ephemeral jobs without the need to refactor code as Python modules or

Read More
Shared by AWS Machine Learning December 1, 2022

Favorite Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) that enables data scientists and developers to perform every step of the ML workflow, from preparing data to building, training, tuning, and deploying models. To access SageMaker Studio, Amazon SageMaker Canvas, or other Amazon ML

Read More
Shared by AWS Machine Learning December 1, 2022

Favorite The world is at increasing risk of global food shortage as a consequence of geopolitical conflict, supply chain disruptions, and climate change. Simultaneously, there’s an increase in overall demand from population growth and shifting diets that focus on nutrient- and protein-rich food. To meet the excess demand, farmers need

Read More
Shared by AWS Machine Learning December 1, 2022

Favorite Administrators of machine learning (ML) workloads are focused on ensuring that users are operating in the most secure manner, striving towards a principal of least privilege design. They have a wide variety of personas to account for, each with their own unique sets of needs, and building the right

Read More
Shared by AWS Machine Learning December 1, 2022

Favorite As companies are increasingly adopting machine learning (ML) for their mainstream enterprise applications, more of their business decisions are influenced by ML models. As a result of this, having simplified access control and enhanced transparency across all your ML models makes it easier to validate that your models are

Read More
Shared by AWS Machine Learning December 1, 2022

Favorite Amazon SageMaker now allows you to compare the performance of a new version of a model serving stack with the currently deployed version prior to a full production rollout using a deployment safety practice known as shadow testing. Shadow testing can help you identify potential configuration errors and performance

Read More
Shared by AWS Machine Learning December 1, 2022

Favorite Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). It provides a single, web-based visual interface where you can perform all ML development steps, including preparing data and building, training, and deploying models. Within an Amazon SageMaker Domain, users can provision a personal

Read More
Shared by AWS Machine Learning December 1, 2022