Favorite One of my favourite common-sense KM articles of all time is Tom Davenport’s 1997 article on the 7 deadly syndromes of Knowledge Management – still as relevant today as it ever was. Dating from the earliest days of KM, Tom points out seven Knowledge management pitfalls, all of which still
Favorite An effective Knowledge management communication message needs to appeal to the head, to the heart, to the hands, and to the feet of the audience. Here’s how. Communication is one of the 5 tools of KM culture change. Imagine preparing an internal presentation on Knowledge Management to one of
Favorite 5 years ago, in late 2014, I made an estimate of the number of knowledge managers in the world. Here is an update – the number has increased to over 47,500, of which 28% are in the USA. Number of knowledge managers per country Of course there is no
Favorite Developers are constantly training and re-training machine learning (ML) models so they can continuously improve model predictions. Depending on the dataset size, model training jobs can take anywhere from a few minutes to multiple hours or days. ML development can be a complex, expensive, and iterative process. Being compute
Favorite Developers are constantly training and re-training machine learning (ML) models so they can continuously improve model predictions. Depending on the dataset size, model training jobs can take anywhere from a few minutes to multiple hours or days. ML development can be a complex, expensive, and iterative process. Being compute
Favorite Knowledge Management often involves balancing two forces – Connect and Collect, for example, or value to the individual and value to the firm. If you are not careful, this balance can turn into pendulum swings from one factor to the other. Here is a story of this happening. Typical
Favorite Here are some more results from our 2014 and 2017 Global Survey of Knowledge management; a plot of KM Technology usage and value. We asked the survey participants to rate a range of different types of technology by the value they have added to their KM program, giving them
Favorite Thanks to cloud services such as Amazon SageMaker and AWS Data Exchange, machine learning (ML) is now easier than ever. This post explains how to build a model that predicts restaurant grades of NYC restaurants using AWS Data Exchange and Amazon SageMaker. We use a dataset of 23,372 restaurant
Favorite Thanks to cloud services such as Amazon SageMaker and AWS Data Exchange, machine learning (ML) is now easier than ever. This post explains how to build a model that predicts restaurant grades of NYC restaurants using AWS Data Exchange and Amazon SageMaker. We use a dataset of 23,372 restaurant
Favorite Say what you like about the ISO KM standard; at least it encourages you to address KM in the correct order! There are many approaches adopted for introducing KM, and not all of them work well. For example the historically common approach of “Technology Push” – where an organisation