A Technology Broker and Management Company Specializing in KM Systems
Favorite This is a reprise and rewrite of a post from 5 years ago about KM change models vs KM maturity models. AKA “why KM change is more like spread of a forest fire than the growth of a tree”. Photo from the US National Parks Service The use of
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Shared by Nick Milton November 25, 2019
Favorite Does KM need a single technology platform? More likely it needs several technologies. This blog post was prompted by a thread in Stan Garfield’s SIKM community asking what technology platform people use for KM. My immediate thought was that a single platform probably is not sufficient. However let’s look
Read More Shared by Nick Milton November 22, 2019
Favorite This is a guest post from Matt Fielder and Jordan Rosenblum at iHeartRadio. In their own words, “iHeartRadio is a streaming audio service that reaches tens of millions of users every month and registers many tens of thousands more every day.” Personalization is an important part of the user
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Shared by AWS Machine Learning November 21, 2019
Favorite To have an effective conversation, it is important to understand the sentiment and respond appropriately. In a customer service call, a simple acknowledgment when talking to an unhappy customer might be helpful, such as, “Sorry to hear you are having trouble.” Understanding sentiment is also useful in determining when
Read More Shared by AWS Machine Learning November 21, 2019
Favorite If you are a leader who wants to help develop a Knowledge Management and Organisational Learning culture in their organisation, you can do this simply, by asking two questions. I have a question by The US Army on Flickr The two questions are Who have you learned from?Who have
Read More Shared by Nick Milton November 21, 2019
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.
Read More 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
Read More 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