Favorite Amazon Textract is a fully managed machine learning (ML) service that makes it easy to process documents at scale by automatically extracting printed text, handwriting, and other data from virtually any type of document. Amazon Textract goes beyond simple optical character recognition (OCR) to also identify the contents of
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Shared by AWS Machine Learning November 18, 2020
Favorite Over the last two days I have blogged about the challenge of revolutionising the productivity of the knowledge worker, which Peter Drucker set for us. We have looked at the division of knowledge labour, and the automation/augmentation of knowledge work. Today we look at the knowledge supply chain. Parts,
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Shared by Nick Milton November 18, 2020
Favorite Yesterday I blogged about the challenge to revolutionise the productivity of the knowledge worker, and how the first step was the division of knowledge. The second step is the automation of knowledge work. Image from wikipedia commons Automation was one of the factors that helped revolutionise the productivity of
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Shared by Nick Milton November 17, 2020
Favorite This week I would like to upcycle a series of blog posts from 5 years ago about “revolutionising the productivity of the knowledge worker” – a challenge set for us by Peter Drucker Image from wikimedia commons Peter Drucker famously said ‘‘The most important, and indeed the truly unique,
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Shared by Nick Milton November 16, 2020
Favorite We’re excited to announce dynamic filters in Amazon Personalize, which allow you to apply business rules to your recommendations on the fly, without any extra cost. Dynamic filters create better user experiences by allowing you to tailor your business rules for each user when you generate recommendations. They save
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Shared by AWS Machine Learning November 14, 2020
Favorite Over the past few years, businesses have experienced a steep rise in the volume of documents they have to deal with. These include a wide range of structured and unstructured text spread across different document formats. Processing these documents and extracting data is labor-intensive and costly. It involves complex
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Shared by AWS Machine Learning November 14, 2020
Favorite Documents are a primary tool for communication, collaboration, record keeping, and transactions across industries, including financial, medical, legal, and real estate. The format of data can pose an extra challenge in data extraction, especially if the content is typed, handwritten, or embedded in a form or table. Furthermore, extracting
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Shared by AWS Machine Learning November 14, 2020
Favorite If you’re a Formula 1 (F1) fan, have you ever wondered why F1 teams have very different performances between qualifying and practice sessions? Why do they have multiple practice sessions in the first place? Can practice session results actually tell something about the upcoming qualifying race? In this post,
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Shared by AWS Machine Learning November 14, 2020
Favorite Five years ago, we open-sourced TensorFlow, our machine learning framework for research and production. Our goal was to expand access to state-of-the-art machine learning tools so anyone could use them. Since then, TensorFlow has become the most popular machine learning library in the world, with over 160 million downloads.
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Shared by Google AI Technology November 13, 2020
Favorite Amazon Polly is launching a new Australian English voice, Olivia. Amazon Polly turns text into lifelike speech, allowing you to build speech-enabled products. Building upon the existing Australian English Standard voices, Nicole and Russell, Olivia is the first Australian English voice in Amazon Polly powered by the Neural Text-to-Speech
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Shared by AWS Machine Learning November 13, 2020
Shared by AWS Machine Learning November 18, 2020
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