Favorite Amazon Comprehend is a fully managed natural language processing (NLP) service that enables text analytics to extract insights from the content of documents. Amazon Comprehend supports custom classification and enables you to build custom classifiers that are specific to your requirements, without the need for any ML expertise. Previously, custom
Favorite We know that senior level support for Knowledge Management remains the greatest challenge for KM, and that once established, it is by far the greatest enabler. But how do you gain this support? My Knoco South Africa colleague Ian Corbett uses the matrix shown here to identify areas where
Favorite You’ve rolled out a conversational interface powered by Amazon Lex, with a goal of improving the user experience for your customers. Now you want to track how well it’s working. Are your customers finding it helpful? How are they using it? Do they like it enough to come back?
Favorite The Salish Sea, which extends from British Columbia to Washington State in the U.S., was once home to hundreds of killer whales, also known as orcas. Now, the population of Southern Resident Killer Whales, a subgroup of orcas, is struggling to survive—there are only 73 of them left. Building
Favorite Beyond helping us navigate the world, the human eye can reveal signs of underlying disease, which care providers can now uncover during a simple, non-invasive screening (a photograph taken of the back of the eye). We’ve previously shown that deep learning applied to these photos can help identify diabetic
Favorite Last week I started a set of blog posts likening KM implementation to a business start-up. Here is number 5 in the series. Lean Start-up methodology, by Rebeca Zuniga on Flickr This blog series uses this analogy of a start-up to inform KM implementation. It reviews 5 common reasons
Favorite Last week I started a set of blog posts likening KM implementation to a business start-up. Here is number 4 in the series. Image from wikimedia commons This blog series uses this analogy of a start-up to inform KM implementation. It reviews 5 common reasons for start-up failure and
Favorite Last week I started a set of blog posts likening KM implementation to a business start-up. Here is number 3 in the series. Picture from Needpix, author geralt (pixabay.com) This blog series uses this analogy of a start-up to inform KM implementation. It reviews 5 common reasons for start-up failure
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
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