A Technology Broker and Management Company Specializing in KM Systems
Favorite The field of Natural Language Processing (NLP) has had many remarkable breakthroughs in the past two years. Advanced deep learning models are raising the state-of-the-art performance standards for NLP tasks. To benefit from newly published NLP models, the best approach is to apply a pre-trained language model to a
Read More
Shared by AWS Machine Learning January 24, 2020
Favorite Yesterday I started a set of blog posts likening KM implementation to a business start-up. Here is number 2 in the series. Picture by Tumisu (pixabay.com) on Needpix In many ways, the initial implementation of Knowledge Management within an organisation is like the launch of a new product into
Read More
Shared by Nick Milton January 24, 2020
Favorite Across the web, there are millions of datasets about nearly any subject that interests you. If you’re looking to buy a puppy, you could find datasets compiling complaints of puppy buyers or studies on puppy cognition. Or if you like skiing, you could find data on revenue of ski
Read More
Shared by Google AI Technology January 23, 2020
Favorite If we liken KM implementation to a business start-up, there are many lessons we can learn and apply. Image by www.inkmedia.eu on Flickr In many ways, the initial implementation of Knowledge Management within an organisation is like the launch of a new product into a market by a start-up
Read More Shared by Nick Milton January 23, 2020
Favorite The Earth’s climate is a highly complex, dynamic system. It is difficult to understand and predict how different climate variables interact. Finding causal relations in climate research today relies mostly on expensive and time-consuming model simulations. Fortunately, with the explosion in the availability of large-scale climate data and increasing
Read More Shared by AWS Machine Learning January 22, 2020
Favorite The Earth’s climate is a highly complex, dynamic system. It is difficult to understand and predict how different climate variables interact. Finding causal relations in climate research today relies mostly on expensive and time-consuming model simulations. Fortunately, with the explosion in the availability of large-scale climate data and increasing
Read More Shared by AWS Machine Learning January 22, 2020
Favorite This is a short analysis of the story of WalMart’s preparation for hurricanes, in order to explore the link between Big Data and Knowledge. Hurricane Irma food distribution, by City of St Pete on Flickr One of the earliest and most famous “big data” stories is around Walmart and
Read More Shared by Nick Milton January 22, 2020
Favorite Interpreting 3D seismic data correctly helps identify geological features that may hold or trap oil and gas deposits. Amazon SageMaker and Apache MXNet on AWS can automate horizon picking using deep learning techniques. In this post, I use these services to build and train a custom deep-learning model for
Read More Shared by AWS Machine Learning January 21, 2020
Favorite In a 2015 video reprise from Edward Rogers, CKO of NASA Goddard, he explains what he sees as the 5 most common mistakes in implementing KM. All of these stem from one reason, which is that KM people too often fail to learn from the experience of the past.
Read More Shared by Nick Milton January 21, 2020
Favorite The best definition of a Knowledge Worker is “someone who knows (or learns) more about their job than their boss does”. So how does this work in a hierarchy? Percentage of people in each country who agreed with the statement “It is important for a manager to have precise
Read More Shared by Nick Milton January 20, 2020