A Technology Broker and Management Company Specializing in KM Systems
Favorite Amazon SageMaker Ground Truth helps you build highly accurate training datasets for machine learning. It can reduce your labeling costs by up to 70% using automatic labeling. This blog post explains the Amazon SageMaker Ground Truth chaining feature with a few examples and its potential in labeling your datasets.
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Shared by AWS Machine Learning November 20, 2019
Favorite I have blogged quite a bit recently on Connect and Collect approaches to KM, aka the transfer of tacit and explicit knowledge. Here is a reprise and extension of a useful table which describes the two. Three of my recent blog posts have touched on Charts and pilots, Why
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Shared by Nick Milton November 20, 2019
Favorite This is a guest post from James Jameson, the Commercial Lead at CaptionHub. CaptionHub is a London-based company that focuses on video captioning and subtitling production for enterprise organizations. While the act of captioning—that is, taking video files and making sure the text on the screen reflects what’s being
Read More Shared by AWS Machine Learning November 19, 2019
Favorite This post is an update of an earlier post in 2014, brought up to date with new survey data. As part of our global surveys in 2014 and 2017, answered by over 700 KM professionals, we asked respondents to rank a number of barriers in order of the impact
Read More Shared by Nick Milton November 19, 2019
Favorite If you’re like most companies, you wish to better understand your customers and your brand image. You’d like to track the success of your marketing campaigns, and the topics of interest—or frustration—for your customers. Social media promises to be a rich source of this kind of information, and many
Read More Shared by AWS Machine Learning November 18, 2019
Favorite Connecting people is far less efficient than Collecting while being far more effective – but how much more effective? Knowledge can be transferred in two ways – by Connecting people so that they can discuss, and Collecting knowledge in written (explicit) form so others can find and read it
Read More Shared by Nick Milton November 18, 2019
Favorite Machine learning (ML) lets enterprises unlock the true potential of their data, automate decisions, and transform their business processes to deliver exponential value to their customers. To help you take advantage of ML, Amazon SageMaker provides the ability to build, train, and deploy ML models quickly. Until recently, if
Read More Shared by AWS Machine Learning November 15, 2019
Favorite In organisational safety management, they identify a “near miss” as evidence that safety practices need to be improved. We can do the same in knowledge management. Image from safety.af.mil I have often used Safety Management as a useful analogue for KM, and here’s another good crossover idea. In safety
Read More Shared by Nick Milton November 15, 2019
Favorite AWS DeepRacer, launched at re:Invent 2018, helps developers get hands on with reinforcement learning (RL). Since then, thousands of people have developed and raced their models at 21 AWS DeepRacer League events at AWS Summits across the world, and virtually via the AWS DeepRacer console. Beyond the summits there
Read More Shared by AWS Machine Learning November 14, 2019
Favorite Machine learning (ML) is routinely used by countless businesses to assist with decision making. In most cases, however, the predictions and business decisions made by ML systems still require the intuition of human users to make judgment calls. In this post, I show how to combine ML with sensitivity
Read More Shared by AWS Machine Learning November 13, 2019