Favorite Launched at AWS re:Invent 2018, Amazon SageMaker Ground Truth helps you quickly build highly accurate training datasets for your machine learning models. Amazon SageMaker Ground Truth offers easy access to public and private human labelers, and provides them with built-in workflows and interfaces for common labeling tasks. Additionally, Amazon
Favorite The default approach to managing knowledge which many companies use, is to keep knowledge in people’s heads, and to move the knowledge where it is needed by moving the people, not by transferring the knowledge. Homer Simpson’s head by SOCIALisBETTER on Flickr In this old model, knowledge is owned
Favorite We’re excited to announce an end-to-end solution that leverages natural language processing to analyze and visualize unstructured text in your Amazon Elasticsearch Service domain with Amazon Comprehend in the AWS Cloud. You can deploy this solution in minutes with an AWS CloudFormation template and visualize your data in a
Favorite There is no one-size-fits-all solution for knowledge transfer, because not every transfer context is the same. However we can look at four main classes or types of knowledge transfer, by looking at the dimensions of TIME and LOCATION. There are other dimensions as well, such as whether the transfer
Favorite Amazon Comprehend is a natural language processing service that can extract key phrases, places, names, organizations, events, and even sentiment from unstructured text, and more. Customers usually want to add their own entity types unique to their business, like proprietary part codes or industry-specific terms. In November 2018, enhancements to
Favorite Some companies make things, some do things, some maintain relationships. Process companies, Product companies, Client companies – different focus, different business, different approach to KM. OK, so that is an oversimplification – most companies are a mix of Doing, Making and Relationship Management; they have product departments where they
Favorite Knowledge management is a large and complex field, covering many elements, and applied in many different ways (see my blog post on 50 shades of KM for example). However there are a small number of Knowledge Management sub-components or modules which come up time and time again, and probably
Favorite Amazon SageMaker is a modular, fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Training models is quick and easy using a set of built-in high-performance algorithms, pre-built deep learning frameworks, or using your own framework. To help
Favorite Implementing Knowledge Management requires two parallel strategies, like the two prongs of a fork. There was a very interesting article by Ron Bascue in the 2011 Fall edition of the US Army KM newsletter (now no longer available online), about a twin-strategy approach to delivering a Knowledge Management strategy.
Favorite One of my Knoco colleagues was in a KM workshop a while ago with a client, and raised the issue of the KM Budget. One of the people in the room said “What? Does Knowledge Management need a budget?” Budget, by 401(k) 2012, on Flickr, from http://401kcalculator.org My colleague
Shared by AWS Machine Learning September 6, 2019
Shared by 
