Announcing Visual Conversation Builder for Amazon Lex

Favorite Amazon Lex is a service for building conversational interfaces using voice and text. Amazon Lex provides high-quality speech recognition and language understanding capabilities. With Amazon Lex, you can add sophisticated, natural language bots to new and existing applications. Amazon Lex reduces multi-platform development efforts, allowing you to easily publish

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Shared by AWS Machine Learning September 15, 2022

First Insights: Deep Dive AI Podcast

Favorite A little over five weeks ago, we started exploring how artificial intelligence (AI) impacts Open… The post First Insights: Deep Dive AI Podcast first appeared on Voices of Open Source. Click Here to View Original Source (opensource.org)

Prepare data at scale in Amazon SageMaker Studio using serverless AWS Glue interactive sessions

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. AWS Glue is a serverless data integration service that makes

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Shared by AWS Machine Learning September 14, 2022

Get better insight from reviews using Amazon Comprehend

Favorite “85% of buyers trust online reviews as much as a personal recommendation” – Gartner Consumers are increasingly engaging with businesses through digital surfaces and multiple touchpoints. Statistics show that the majority of shoppers use reviews to determine what products to buy and which services to use. As per Spiegel

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Shared by AWS Machine Learning September 14, 2022

LOLNeRF: Learn from One Look

Favorite Posted by Daniel Rebain, Student Researcher, and Mark Matthews, Senior Software Engineer, Google Research, Perception Team An important aspect of human vision is our ability to comprehend 3D shape from the 2D images we observe. Achieving this kind of understanding with computer vision systems has been a fundamental challenge

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Shared by Google AI Technology September 13, 2022

How Medidata used Amazon SageMaker asynchronous inference to accelerate ML inference predictions up to 30 times faster

Favorite This post is co-written with Rajnish Jain, Priyanka Kulkarni and Daniel Johnson from Medidata. Medidata is leading the digital transformation of life sciences, creating hope for millions of patients. Medidata helps generate the evidence and insights to help pharmaceutical, biotech, medical devices, and diagnostics companies as well as academic

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Shared by AWS Machine Learning September 13, 2022

9 arguments for a Knowledge Management strategy

Favorite You need a strategy if your KM implementation is to be successful. Here are 8 reasons why. Implementing Knowledge Management without a strategy is a risky endeavour. As Sun Tzu is reputed to have said said, in “the art of war”, “Strategy without tactics is the slowest route to victory.

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Shared by Nick Milton September 12, 2022