Evaluating an automatic speech recognition service

Favorite Over the past few years, many automatic speech recognition (ASR) services have entered the market, offering a variety of different features. When deciding whether to use a service, you may want to evaluate its performance and compare it to another service. This evaluation process often analyzes a service along

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Shared by AWS Machine Learning October 6, 2020

Make your everyday smarter with Jacquard

Favorite Technology is most helpful when it’s frictionless. That is why we believe that computing should power experiences through the everyday things around you—an idea we call “ambient computing.” That’s why we developed the Jacquard platform to deliver ambient computing in a familiar, natural way: By building it into things

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Shared by Google AI Technology October 5, 2020

How to measure the waste in the KM supply chain

Favorite If KM is a lean supply chain for knowledge, how can you measure the amount of waste in the chain? Shredded waste, image from wikimedia commons I have often used the concept of a knowledge supply chain as a way of describing Knowledge Management; the supply chain being a

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Shared by Nick Milton October 5, 2020

Join AWS and NVIDIA at GTC, October 5–9

Favorite Starting Monday, October 5, 2020, the NVIDIA GPU Technology Conference (GTC) is offering online sessions for you to learn AWS best practices to accomplish your machine learning (ML), virtual workstations, high performance computing (HPC), and internet of things (IoT) goals faster and more easily. Amazon Elastic Compute Cloud (Amazon

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Shared by AWS Machine Learning October 3, 2020

How newly hired graduates search for knowledge?

Favorite How do graduates search for knowledge, and what this means for KM.   Image by mohamed Hassan from Pixabay Here (summarised here and slides here) is a really interesting study about the difference between the strategies that new-hires use when seeking for information and knowledge, and the strategies their employers expect

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Shared by Nick Milton October 2, 2020

Onboarding Amazon SageMaker Studio with AWS SSO and Okta Universal Directory

Favorite In 2019, AWS announced Amazon SageMaker Studio, a unified integrated development environment (IDE) for machine learning (ML) development. You can write code, track experiments, visualize data, and perform debugging and monitoring within a single, integrated visual interface. Amazon SageMaker Studio supports a single sign-on experience with AWS Single Sign-On

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Shared by AWS Machine Learning October 2, 2020