Do learning leaders produce learning organisations?

Do learning organisations require learning leaders? Almost certainly they do, but will learning leaders require their organisations to learn as well? How well do leaders learn? There is the stereotype of the bull-headed CEO, hanging on to their dream, forging ahead single-mindedly until they dominate the industry. But is that

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Shared by Nick Milton September 23, 2020

How even 10-year-old space scientists capture their lessons

Here is an interesting story about a couple of scientists who created a craft which reached the edge of space, and who (as good knowledge workers should) captured their lessons learned afterwards. The surprise is that they were only 8 and 10 years old at the time! The young scientists’

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Shared by Nick Milton September 22, 2020

Who are the knowledge workers?

The knowledge workers represent one of your two main stakeholder groupings for Knowledge Management implementation. But who exactly are they? Image from CreazillaPublic domain licence Firstly we can eliminate from the group “knowledge worker” anyone who is purely a manual worker – someone who follows orders or preassigned inflexible procedures.

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Shared by Nick Milton September 21, 2020

Reasons why you should not incentivise knowledge publishing

Just incentivising knowledge publishing risks drowning the organisation in trivia. Social media overloadby Mark Smiciklas on Flickr I once had a conversation with a knowledge manager, who explained to me the incentive system they used for KM. My heart sank.  In this particular organisation, people were incentivised to publish knowledge.

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Shared by Nick Milton September 18, 2020

Activity detection on a live video stream with Amazon SageMaker

Live video streams are continuously generated across industries including media and entertainment, retail, and many more. Live events like sports, music, news, and other special events are broadcast for viewers on TV and other online streaming platforms. AWS customers increasingly rely on machine learning (ML) to generate actionable insights in

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Shared by AWS Machine Learning September 17, 2020

Build alerting and human review for images using Amazon Rekognition and Amazon A2I

The volume of user-generated content (UGC) and third-party content has been increasing substantially in sectors like social media, ecommerce, online advertising, and photo sharing. However, such content needs to be reviewed to ensure that end-users aren’t exposed to inappropriate or offensive material, such as nudity, violence, adult products, or disturbing

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Shared by AWS Machine Learning September 17, 2020

Detecting and redacting PII using Amazon Comprehend

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning (ML) to find insights and relationships like people, places, sentiments, and topics in unstructured text. You can now use Amazon Comprehend ML capabilities to detect and redact personally identifiable information (PII) in customer emails, support tickets, product

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Shared by AWS Machine Learning September 17, 2020