8 ways to transfer team knowledge

Imagine you have identified some lessons or new knowledge within a work team. How do you pass them on?  There are 8 different contexts which determine how you might approach this. I am a great believer in tailoring your approach to circumstances, and the circumstances you need to consider are

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Shared by Nick Milton August 26, 2020

Building a customized recommender system in Amazon SageMaker

Recommender systems help you tailor customer experiences on online platforms. Amazon Personalize is an artificial intelligence and machine learning service that specializes in developing recommender system solutions. It automatically examines the data, performs feature and algorithm selection, optimizes the model based on your data, and deploys and hosts the model

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Shared by AWS Machine Learning August 24, 2020

Lean KM and the Minimum Viable Product

There is a concept in lean manufacturing known as the “minimum viable product”. This is a very valuable concept to bear in mind when introducing Knowledge Management to an organisation Image from blog.fastmonkeys.com The concept of the Minimum Viable Product (MVP) is generally taken as being the simplest and easiest

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Shared by Nick Milton August 24, 2020

Relevance tuning with Amazon Kendra

Amazon Kendra is a highly accurate and easy-to-use enterprise search service powered by machine learning (ML). As your users begin to perform searches using Amazon Kendra, you can fine-tune which search results they receive. For example, you might want to prioritize results from certain data sources that are more actively

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Shared by AWS Machine Learning August 21, 2020

The expert – dumber than the crowd/machine?

What happens in a world where the crowd, or the machine, is smarter than the expert? The excellent book Think Twice: Harnessing the Power of Counterintuition by Michael Mauboussin, was that “as networks harness the wisdom of crowds, the ability of experts to add value in their predictions is steadily declining. This

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Shared by Nick Milton August 21, 2020

The fastest driver in Formula 1

This blog post was co-authored, and includes an introduction, by Rob Smedley, Director of Data Systems at Formula 1 Formula 1 (F1) racing is the most complex sport in the world. It is the blended perfection of human and machine that create the winning formula. It is this blend that

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Shared by AWS Machine Learning August 20, 2020

Using A/B testing to measure the efficacy of recommendations generated by Amazon Personalize

Machine learning (ML)-based recommender systems aren’t a new concept, but developing such a system can be a resource-intensive task—from data management during training and inference, to managing scalable real-time ML-based API endpoints. Amazon Personalize allows you to easily add sophisticated personalization capabilities to your applications by using the same ML

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Shared by AWS Machine Learning August 20, 2020

Why bullet points don’t work for knowledge sharing

The Curse of Knowledge is a real problem when it comes to knowledge sharing; trying to transfer knowledge to the Unknown User. It’s also one of the reasons why lesson management systems are full of mushy motherhoods and useless bullet points. Curses!!! Foiled Again.uploaded to Flickr by Joe Shlabotnik The curse

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Shared by Nick Milton August 19, 2020

The sound of India’s AI potential

On August 15, India’s Independence Day, it’s customary to sing Jana Gana Mana: the Indian national anthem, originally composed by the poet Rabindranath Tagore and adopted as the anthem after India gained full independence.   This year, together with Prasar Bharati and Virtual Bharat, we offered Indians a new take on

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Shared by Google AI Technology August 18, 2020