A Technology Broker and Management Company Specializing in KM Systems
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,
Read More 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
Read More 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
Read More 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,
Read More 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
Read More Shared by AWS Machine Learning November 13, 2020
Favorite Processing incoming documents such as contracts and agreements is often an arduous task. The typical workflow for reviewing signed contracts involves loading, reading, and extracting contractual terms from agreements, which requires hours of manual effort and intensive labor. At AWS Finance and Global Business Services (AWS FGBS), this process
Read More Shared by AWS Machine Learning November 13, 2020
Favorite We’re excited to announce that you can now measure the accuracy of your forecasting model to optimize the trade-offs between under-forecasting and over-forecasting costs, giving you flexibility in experimentation. Costs associated with under-forecasting and over-forecasting differ. Generally, over-forecasting leads to high inventory carrying costs and waste, whereas under-forecasting leads
Read More Shared by AWS Machine Learning November 13, 2020