Favorite There is no one-size-fits-all solution for knowledge transfer, because not every transfer context is the same. However we can look at four main classes or types of knowledge transfer, by looking at the dimensions of TIME and LOCATION. There are other dimensions as well, such as whether the transfer
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Shared by Nick Milton September 5, 2019
Favorite Amazon Comprehend is a natural language processing service that can extract key phrases, places, names, organizations, events, and even sentiment from unstructured text, and more. Customers usually want to add their own entity types unique to their business, like proprietary part codes or industry-specific terms. In November 2018, enhancements to
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Shared by AWS Machine Learning September 4, 2019
Favorite Some companies make things, some do things, some maintain relationships. Process companies, Product companies, Client companies – different focus, different business, different approach to KM. OK, so that is an oversimplification – most companies are a mix of Doing, Making and Relationship Management; they have product departments where they
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Shared by Nick Milton September 4, 2019
Favorite Knowledge management is a large and complex field, covering many elements, and applied in many different ways (see my blog post on 50 shades of KM for example). However there are a small number of Knowledge Management sub-components or modules which come up time and time again, and probably
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Shared by Nick Milton September 3, 2019
Favorite Amazon SageMaker is a modular, fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Training models is quick and easy using a set of built-in high-performance algorithms, pre-built deep learning frameworks, or using your own framework. To help
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Shared by AWS Machine Learning August 30, 2019
Favorite Implementing Knowledge Management requires two parallel strategies, like the two prongs of a fork. There was a very interesting article by Ron Bascue in the 2011 Fall edition of the US Army KM newsletter (now no longer available online), about a twin-strategy approach to delivering a Knowledge Management strategy.
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Shared by Nick Milton August 30, 2019
Favorite One of my Knoco colleagues was in a KM workshop a while ago with a client, and raised the issue of the KM Budget. One of the people in the room said “What? Does Knowledge Management need a budget?” Budget, by 401(k) 2012, on Flickr, from http://401kcalculator.org My colleague
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Shared by Nick Milton August 29, 2019
Favorite Amazon SageMaker provides a fully-managed service for data science and machine learning workflows. One of the most important capabilities of Amazon SageMaker is its ability to run fully-managed training jobs to train machine learning models. Visit the service console to train machine learning models yourself on Amazon SageMaker. Now you
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Shared by AWS Machine Learning August 28, 2019
Favorite Many people prefer to use the term “Knowledge Sharing” instead of “Knowledge Management”. However as a synonym “Knowledge Sharing” is inadequate and misleading. I know lots of people prefer the term Knowledge Sharing, but sharing is only one element of KM. There are at least four other major elements
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Shared by Nick Milton August 28, 2019
Favorite This is a guest blog post by Jesse Brizzi, a computer vision research engineer at Curalate. At Curalate, we’re always coming up with new ways to use deep learning and computer vision to find and leverage user-generated content (UGC) and activate influencers. Some of these applications, like Intelligent Product
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Shared by AWS Machine Learning August 27, 2019