How to estimate the size of the KM prize

Favorite I blogged last week about the importance of knowing the value KM will deliver. But how do you do this? Big Prize, by Alberto G on Flickr As I said in last week’s post; if you understand the value that Knowledge Management can bring, then you understand how much

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Shared by Nick Milton August 12, 2019

How collaboration can simplify

Favorite Collaboration adds simplicity in a complicated world.  Simplifying through collaboration is the topic of a Ted talk by Yves Morieux, embedded below, in which he gives us 6 rules to simplify work. Watch the talk to get the context, but here are his 6 rules (with more explanation here)

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Shared by Nick Milton August 9, 2019

Adding a data labeling workflow for named entity recognition with Amazon SageMaker Ground Truth

Favorite Launched at AWS re:Invent 2018, Amazon SageMaker Ground Truth enables you to efficiently and accurately label the datasets required to train machine learning (ML) systems. Ground Truth provides built-in labeling workflows that take human labelers step-by-step through tasks and provide tools to help them produce good results. Built-in workflows

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Shared by AWS Machine Learning August 8, 2019

Why it’s important to know the value KM will deliver

Favorite Why is it important to understand the business value of Knowledge Management? The answer is a simple one – if you understand the value, you understand how much you can justify investing. Image by creditscoregeek.com/ on Flickr A couple of days ago we discussed KM metrics, including the Impact (or value)

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Shared by Nick Milton August 8, 2019

The only metric that counts in KM

Favorite A recent article by Steve Denning throws light on the only KM metric that counts;  Impact. Image from wikimedia commons The article in Forbes, entitled “Why Agile Often Fails: No Agreed Metrics”, discusses the metrics systems used at Amazon, and compares them with those used when Denning was CKO

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Shared by Nick Milton August 6, 2019