Dejargonising Knowledge Management

Favorite Humans have a habit of combining concepts into “chunks”. It helps us remember things more easily, but the jargon associated with “chunks” can confuse others when we try to communicate, if they don’t have the same set of combined concepts.  I am going to attempt to de-chunk and dejargonise

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Shared by Nick Milton March 29, 2021

AWS ML Community showcase: March 2021 edition

Favorite In our Community Showcase, Amazon Web Services (AWS) highlights projects created by AWS Heroes and AWS Community Builders.  Each month AWS ML Heroes and AWS ML Community Builders bring to life projects and use cases for the full range of machine learning skills from beginner to expert through deep

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Shared by AWS Machine Learning March 27, 2021

Amazon Kendra adds new search connectors from AWS Partner, Perficient, to help customers search enterprise content faster

Favorite Today, Amazon Kendra is making nine new search connectors available in the Amazon Kendra connector library developed by Perficient, an AWS Partner. These include search connectors for IBM Case Manager, Adobe Experience Manger, Atlassian Jira and Confluence, and many others. Improving the Enterprise Search Experience These days, employees and

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Shared by AWS Machine Learning March 25, 2021

Announcing AWS Media Intelligence Solutions

Favorite Today, we’re pleased to announce the availability of AWS Media Intelligence (AWS MI) solutions, a combination of services that empower you to easily integrate AI into your media content workflows. AWS MI allows you to analyze your media, improve content engagement rates, reduce operational costs, and increase the lifetime

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Shared by AWS Machine Learning March 24, 2021

AWS and Hugging Face Collaborate to Simplify and Accelerate Adoption of Natural Language Processing Models

Favorite Just like computer vision a few years ago, the decade-old field of natural language processing (NLP) is experiencing a fascinating renaissance. Not a month goes by without a new breakthrough! Indeed, thanks to the scalability and cost-efficiency of cloud-based infrastructure, researchers are finally able to train complex deep learning

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Shared by AWS Machine Learning March 24, 2021

Enable feature reuse across accounts and teams using Amazon SageMaker Feature Store

Favorite Amazon SageMaker Feature Store is a new capability of Amazon SageMaker that helps data scientists and machine learning (ML) engineers securely store, discover, and share curated data used in training and prediction workflows. As organizations build data-driven applications using ML, they’re constantly assembling and moving features between more and

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Shared by AWS Machine Learning March 24, 2021

Create forecasting systems faster with automated workflows and notifications in Amazon Forecast

Favorite You can now enable notifications for workflow status changes while using Amazon Forecast, allowing you to work seamlessly without the disruption of having to check if a particular workflow has completed. Additionally, you can now automate workflows through the notifications to increase work efficiency. Forecast uses machine learning (ML)

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Shared by AWS Machine Learning March 23, 2021

Helping newsrooms experiment together with AI

Favorite In our JournalismAI report, journalists around the world told researchers they are eager to collaborate and explore the benefits of AI, especially as it applies to newsgathering, production and distribution.  To facilitate their collaboration, the Google News Initiative and Polis – the journalism think tank at the London School

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Shared by Google AI Technology March 23, 2021