Personal learning, KM and the 170:20:10 rule

The 70:20:10 rule is commonly quoted, as in this video by Steve Trautman, as representing the three ways in which people learn. 10% of our learning, comes from formal training 20% of our learning comes from structured mentoring, from a senior to a junior, or teacher to learner 70% of

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Shared by Nick Milton March 19, 2020

How benchmarking and KM make a powerful combination

One of the main barriers to knowledge transfer and re-use is complacency. Benchmarking (internal and external) can help remove this complacency. Not invented here Bingo, by Ramon Vullings on Flickr One of the biggest barriers to overcome in Knowledge Management is a lack of desire to learn from others, and

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Shared by Nick Milton March 17, 2020

What can happen if you don’t capture the "know-why"

Know-Why is important in KM, but sometimes neglected. Let’s see what happens if this is not captured. Image courtesy of Know-how is one of the cornerstones of Knowledge Management.  If we capture how things should be done, we empower people who need to perform a task, but have no

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Shared by Nick Milton March 16, 2020

Creating a machine learning-powered REST API with Amazon API Gateway mapping templates and Amazon SageMaker

Amazon SageMaker enables organizations to build, train, and deploy machine learning models. Consumer-facing organizations can use it to enrich their customers’ experiences, for example, by making personalized product recommendations, or by automatically tailoring application behavior based on customers’ observed preferences. When building such applications, one key architectural consideration is how

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Shared by AWS Machine Learning March 13, 2020