End of year break

Favorite This blog is taking an end-year break.  Happy Holidays to all my readers; normal service will be resumed in January.  View Original Source (nickmilton.com) Here.

Amazon Textract becomes PCI DSS certified, and retrieves even more data from tables and forms

Favorite Amazon Textract automatically extracts text and data from scanned documents, and goes beyond simple optical character recognition (OCR) to also identify the contents of fields and information in tables, without templates, configuration, or machine learning experience required. Customers such as Intuit, PitchBook, Change Healthcare, Alfresco, and more are already

Read More
Shared by AWS Machine Learning December 19, 2019

Why "Knowledge for action" is better than "knowledge for storage"

Favorite Knowledge has to lead to action in order to add value.  call to action by Sean MacEntee on Flickr As the blogger Bill Wilson says (in the context of root cause analysis) “Learning without action is mere mental trickery, while action without learning is simply useless physical exercise”.  If knowledge management is

Read More
Shared by Nick Milton December 18, 2019

Running distributed TensorFlow training with Amazon SageMaker

Favorite TensorFlow is an open-source machine learning (ML) library widely used to develop heavy-weight deep neural networks (DNNs) that require distributed training using multiple GPUs across multiple hosts. Amazon SageMaker is a managed service that simplifies the ML workflow, starting with labeling data using active learning, hyperparameter tuning, distributed training

Read More
Shared by AWS Machine Learning December 18, 2019

Embedding KM in the heartbeat of work

Favorite Work has its own rhythms; its own heartbeat. Make KM part of that heartbeat.  Image from wikimedia commons Work has cycles and rhythms; an organisational heartbeat if you will. Embedding Knowledge Management means making it part of that heartbeat, so that it becomes a natural component of the operation

Read More
Shared by Nick Milton December 17, 2019

Do you always need content as part of KM?

Favorite There are 3 unusual cases where content is not important to KM, but they are rare! Image from wikimedia commons This blog has argued that content is as important as conversation in KM, and that content beats memory for long-term preservation of knowledge, and that creation of knowledge content (which is different

Read More
Shared by Nick Milton December 13, 2019

Auto-segmenting objects when performing semantic segmentation labeling with Amazon SageMaker Ground Truth

Favorite Amazon SageMaker Ground Truth helps you build highly accurate training datasets for machine learning (ML) quickly. Ground Truth offers easy access to third-party and your own human labelers and provides them with built-in workflows and interfaces for common labeling tasks. Additionally, Ground Truth can lower your labeling costs by

Read More
Shared by AWS Machine Learning December 13, 2019

Do you always need conversation as part of KM?

Favorite There are 3 unusual cases where conversation is not important to KM, but they are rare! Conversation, by Valery Kenski, on Flickr This blog has often argued that conversation is as important as content in KM, that conversation is at the heart of effective knowledge transfer, and that without conversation

Read More
Shared by Nick Milton December 12, 2019