A Technology Broker and Management Company Specializing in KM Systems
Amazon Comprehend is a fully managed natural language processing (NLP) service that enables text analytics to extract insights from the content of documents. Amazon Comprehend supports custom classification and enables you to build custom classifiers that are specific to your requirements, without the need for any ML expertise. Previously, custom classification
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Shared by AWS Machine Learning January 30, 2020
We know that senior level support for Knowledge Management remains the greatest challenge for KM, and that once established, it is by far the greatest enabler. But how do you gain this support? My Knoco South Africa colleague Ian Corbett uses the matrix shown here to identify areas where KM
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Shared by Nick Milton January 30, 2020
You’ve rolled out a conversational interface powered by Amazon Lex, with a goal of improving the user experience for your customers. Now you want to track how well it’s working. Are your customers finding it helpful? How are they using it? Do they like it enough to come back? How
Read More Shared by AWS Machine Learning January 29, 2020
Last week I started a set of blog posts likening KM implementation to a business start-up. Here is number 5 in the series. Lean Start-up methodology, by Rebeca Zuniga on Flickr This blog series uses this analogy of a start-up to inform KM implementation. It reviews 5 common reasons for
Read More Shared by Nick Milton January 28, 2020
Last week I started a set of blog posts likening KM implementation to a business start-up. Here is number 4 in the series. Image from wikimedia commons This blog series uses this analogy of a start-up to inform KM implementation. It reviews 5 common reasons for start-up failure and suggests
Read More Shared by Nick Milton January 28, 2020
Last week I started a set of blog posts likening KM implementation to a business start-up. Here is number 3 in the series. Picture from Needpix, author geralt (pixabay.com) This blog series uses this analogy of a start-up to inform KM implementation. It reviews 5 common reasons for start-up failure and
Read More Shared by Nick Milton January 27, 2020
The field of Natural Language Processing (NLP) has had many remarkable breakthroughs in the past two years. Advanced deep learning models are raising the state-of-the-art performance standards for NLP tasks. To benefit from newly published NLP models, the best approach is to apply a pre-trained language model to a new
Read More Shared by AWS Machine Learning January 24, 2020
Yesterday I started a set of blog posts likening KM implementation to a business start-up. Here is number 2 in the series. Picture by Tumisu (pixabay.com) on Needpix In many ways, the initial implementation of Knowledge Management within an organisation is like the launch of a new product into a
Read More Shared by Nick Milton January 24, 2020
If we liken KM implementation to a business start-up, there are many lessons we can learn and apply. Image by www.inkmedia.eu on Flickr In many ways, the initial implementation of Knowledge Management within an organisation is like the launch of a new product into a market by a start-up organisation.
Read More Shared by Nick Milton January 23, 2020
The Earth’s climate is a highly complex, dynamic system. It is difficult to understand and predict how different climate variables interact. Finding causal relations in climate research today relies mostly on expensive and time-consuming model simulations. Fortunately, with the explosion in the availability of large-scale climate data and increasing computational
Read More Shared by AWS Machine Learning January 22, 2020
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