A Technology Broker and Management Company Specializing in KM Systems
Favorite Projects require their own KM Framework. Here’s one view of what this might look like. Image from science.dodlive.mil “Knowledge Management for Teams and Projects” contains a bullet-point summary of how Knowledge Management should be applied in a project-based organisation, addressed to the three main stakeholder groupings of Project Manager,
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Shared by Nick Milton August 5, 2019
Favorite With a few clicks in the Amazon SageMaker console or a few one-line API calls, you can now quickly search, filter, and sort your machine learning (ML) experiments using key model attributes, such as hyperparameter values and accuracy metrics, to help you more quickly identify the best models for
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Shared by AWS Machine Learning August 3, 2019
Favorite Git integration is now available in the Amazon SageMaker Python SDK. You no longer have to download scripts from a Git repository for training jobs and hosting models. With this new feature, you can use training scripts stored in Git repos directly when training a model in the Python
Read More Shared by AWS Machine Learning August 3, 2019
Favorite This is a guest blog post by Paul DeHart, co-owner and CEO, BlueToad. BlueToad, one of the leading global providers of digital content solutions, prioritizes innovation. Since 2017, we have enabled publishers (our customers) to provide audio versions of articles found in their digital magazines using Amazon Polly. We see
Read More Shared by AWS Machine Learning August 2, 2019
Favorite This is a guest blog post by Dante Monaldo, co-founder and CTO of Pluto Money Pluto Money, a San Francisco-based startup, is a free money management app that combines banking, behavioral economics, and machine learning (ML) to guide Generation Z towards their financial goals in college and beyond. We’re
Read More Shared by AWS Machine Learning August 2, 2019
Favorite The race is on! Start your engines! The AWS DeepRacer Scholarship Challenge from Udacity is now open for enrollment. As mentioned in our previous post, the AWS DeepRacer Scholarship Challenge program introduces you—no matter what your developer skill levels are—to essential machine learning (ML) concepts in a fun and
Read More Shared by AWS Machine Learning August 2, 2019
Favorite We are excited to announce the launch of two new sample projects: “Build a worker safety system” and “Who drinks the most coffee?” for AWS DeepLens. These sample projects provide guided instructions on how to use computer vision to build a complete machine learning application on AWS. The applications
Read More Shared by AWS Machine Learning August 2, 2019
Favorite Another post from the archives on dealing with the “unknown knowns” in Knowledge Management. We hear a lot (famously from Donald Rumsfeld) about the unknown unknowns, and how difficult they are to deal with, and in knowledge management terms, they can be a real challenge. However an equally challenging
Read More Shared by Nick Milton August 2, 2019
Favorite The knower/learner spectrum is one of the key dimensions of KM culture, and one that all knowledge managers should understand. Image by muffinn on Flickr Knowers and Learners are two archetypes within Knowledge Management, representing two end-members of one of the ten cultural dimensions of Organisational Learning. The difference
Read More Shared by Nick Milton August 1, 2019
Favorite Amazon Elastic Inference (EI) is a new service launched at re:Invent 2018. Elastic Inference reduces the cost of running deep learning inference by up to 75% compared to using standalone GPU instances. Elastic Inference lets you attach accelerators to any Amazon SageMaker or Amazon EC2 instance type and run inference
Read More Shared by AWS Machine Learning July 31, 2019