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Tag: Artificial Intelligence and Machine Learning

Quickbooks Accounts Payable Automation

Quickbooks Accounts PayableQuickbooks is software that helps you manage your accounts payables and receivables. With more than 4.5 million subscribers across the globe, Quickbooks...

Improve ML developer productivity with Weights & Biases: A computer vision example on Amazon SageMaker

The content and opinions in this post are those of the third-party author and AWS is not responsible for the content or accuracy of...

How Cepsa used Amazon SageMaker and AWS Step Functions to industrialize their ML projects and operate their models at scale

This blog post is co-authored by Guillermo Ribeiro, Sr. Data Scientist at Cepsa. Machine learning (ML) has...

Analyze and tag assets stored in Veeva Vault PromoMats using Amazon AppFlow and Amazon AI Services

In a previous post, we talked about analyzing and tagging assets stored in Veeva Vault PromoMats using Amazon AI services and the Veeva Vault...

MLOps foundation roadmap for enterprises with Amazon SageMaker

As enterprise businesses embrace machine learning (ML) across their organizations, manual workflows for building, training, and deploying ML models tend to become bottlenecks to...

Introducing Amazon CodeWhisperer, the ML-powered coding companion

We are excited to announce Amazon CodeWhisperer, a machine learning (ML)-powered service that helps improve developer productivity by providing code recommendations based on developers’...

Manage AutoML workflows with AWS Step Functions and AutoGluon on Amazon SageMaker

Running machine learning (ML) experiments in the cloud can span across many services and components. The ability to structure, automate, and track ML experiments...

Now Amazon debuts an AI programming assistant – CodeWhisperer

Amazon at its re:Mars conference in Las Vegas on Thursday announced a preview of an automated programming assistance tool called CodeWhisperer. Available to those who...

Train once, run anywhere, almost: Qualcomm’s drive to bring AI to its phone, PC chips

Qualcomm knows that if it wants developers to build and optimize AI applications across its portfolio of silicon, the Snapdragon giant needs to make...

Import data from cross-account Amazon Redshift in Amazon SageMaker Data Wrangler for exploratory data analysis and data preparation

Organizations moving towards a data-driven culture embrace the use of data and machine learning (ML) in decision-making. To make ML-based decisions from data, you...

Predict types of machine failures with no-code machine learning using Amazon SageMaker Canvas

Predicting common machine failure types is critical in manufacturing industries. Given a set of characteristics of a product that is tied to a given...

Learning to Play Minecraft with Video PreTraining (VPT)

We trained a neural network to play Minecraft by Video PreTraining (VPT) on a massive unlabeled video dataset of human Minecraft play, while using...

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