A Technology Broker and Management Company Specializing in KM Systems
Favorite Confirmation Bias is one of the most pernicious cognitive biases, and is a major challenge to Knowledge Management. See it in action below. Confirmation bias is a powerful cognitive bias, which means that people Tend to select evidence that supports what they already believe, and Set up tests that
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Shared by Nick Milton September 9, 2019
Favorite This post offers a dive deep into how to use Amazon Elastic Inference with Amazon Elastic Kubernetes Service. When you combine Elastic Inference with EKS, you can run low-cost, scalable inference workloads with your preferred container orchestration system. Elastic Inference is an increasingly popular way to run low-cost inference
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Shared by AWS Machine Learning September 7, 2019
Favorite After you’ve trained and exported a TensorFlow model, you can use Amazon SageMaker to perform inferences using your model. You can either: Deploy your model to an endpoint to obtain real-time inferences from your model. Use batch transform to obtain inferences on an entire dataset stored in Amazon S3.
Read More Shared by AWS Machine Learning September 7, 2019
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
Read More Shared by AWS Machine Learning September 6, 2019
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
Read More Shared by Nick Milton September 6, 2019
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
Read More Shared by AWS Machine Learning September 5, 2019
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
Read More Shared by Nick Milton September 5, 2019
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
Read More Shared by AWS Machine Learning September 4, 2019
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
Read More Shared by Nick Milton September 4, 2019
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
Read More Shared by Nick Milton September 3, 2019