A Technology Broker and Management Company Specializing in KM Systems
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
Read More
Shared by Nick Milton January 10, 2020
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
Read More
Shared by AWS Machine Learning January 9, 2020
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
Read More Shared by AWS Machine Learning January 9, 2020
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
Read More Shared by Nick Milton January 9, 2020
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
Read More Shared by Nick Milton January 8, 2020
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
Read More Shared by AWS Machine Learning January 7, 2020
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
Read More Shared by AWS Machine Learning January 7, 2020
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
Read More Shared by Nick Milton January 7, 2020
Favorite There’s nothing magic about Knowledge management; it’s just a management discipline, like so many others. I would suggest that Knowledge Management is one management discipline among many. It represents a way of managing work, paying due attention to the value and effect of an intangible asset (namely, knowledge). It
Read More Shared by Nick Milton January 6, 2020
Favorite Amazon Comprehend is a natural language processing (NLP) service that uses machine learning (ML) to find insights and relationships in texts. Amazon Comprehend identifies the language of the text; extracts key phrases, places, people, brands, or events; and understands how positive or negative the text is. For more information
Read More Shared by AWS Machine Learning December 25, 2019
English
العربية
简体中文
Français
Deutsch
한국어
Español
Tiếng Việt