Favorite Launched at AWS re:Invent 2021, Amazon SageMaker Ground Truth Plus helps you create high-quality training datasets by removing the undifferentiated heavy lifting associated with building data labeling applications and managing the labeling workforce. All you do is share data along with labeling requirements, and Ground Truth Plus sets up
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Shared by AWS Machine Learning June 27, 2022
Favorite Pride is an interesting motivator in Knowledge Management. In some cases it acts as a real dis-incentive, but if harnessed well it can be a powerful driver for KM behaviours. Proud Lion from Public Domain Pictures I was reflecting on this recently while running one of our powerful Bird Island
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Shared by Nick Milton June 27, 2022
Favorite Running machine learning (ML) experiments in the cloud can span across many services and components. The ability to structure, automate, and track ML experiments is essential to enable rapid development of ML models. With the latest advancements in the field of automated machine learning (AutoML), namely the area of
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Shared by AWS Machine Learning June 24, 2022
Favorite 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’ natural comments and prior code. With CodeWhisperer, developers can simply write a comment that outlines a specific task in plain English, such as “upload a
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Shared by AWS Machine Learning June 24, 2022
Favorite As enterprise businesses embrace machine learning (ML) across their organizations, manual workflows for building, training, and deploying ML models tend to become bottlenecks to innovation. To overcome this, enterprises needs to shape a clear operating model defining how multiple personas, such as data scientists, data engineers, ML engineers, IT,
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Shared by AWS Machine Learning June 24, 2022
Favorite In a previous post, we talked about analyzing and tagging assets stored in Veeva Vault PromoMats using Amazon AI services and the Veeva Vault Platform’s APIs. In this post, we explore how to use Amazon AppFlow, a fully managed integration service that enables you to securely transfer data from
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Shared by AWS Machine Learning June 24, 2022
Favorite This blog post is co-authored by Guillermo Ribeiro, Sr. Data Scientist at Cepsa. Machine learning (ML) has rapidly evolved from being a fashionable trend emerging from academic environments and innovation departments to becoming a key means to deliver value across businesses in every industry. This transition from experiments in
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Shared by AWS Machine Learning June 24, 2022
Favorite 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 this post. As more organizations use deep learning techniques such as computer vision and natural language processing, the machine learning (ML) developer persona needs scalable
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Shared by AWS Machine Learning June 24, 2022
Favorite Today, we’re excited to announce that Amazon Forecast offers the ability to generate forecasts on a selected subset of items. This helps you to leverage the full value of your data, and apply it selectively on your choice of items reducing the time and effort to get forecasted results. Generating a
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Shared by AWS Machine Learning June 24, 2022
Favorite Predicting common machine failure types is critical in manufacturing industries. Given a set of characteristics of a product that is tied to a given type of failure, you can develop a model that can predict the failure type when you feed those attributes to a machine learning (ML) model.
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Shared by AWS Machine Learning June 23, 2022
Shared by AWS Machine Learning June 27, 2022
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