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
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
Favorite The purpose of a Knowledge Management framework within an organisation is to give people timely access to the knowledge they need, to make effective decisions and take effective action. A conversation by Khalid Albaih on Flickr Knowledge must flow from the supplier to the user, through Push (publishing, telling)
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
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
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
Favorite Amazon Polly turns text into lifelike speech for voice-enabled applications. AWS is excited to announce the general availability of all Neural Text-to-Speech (NTTS) voices in the Asia Pacific (Sydney) Region. These voices deliver groundbreaking improvements in speech quality through a new machine learning approach. If you are in the
Favorite Just doing KM well is not enough, you have to do KM at the required speed. Public domain image from Pixnio The world is changing, and organisations need to learn faster than the speed of change if they are to survive. According to Erick Thompson, assistant VP for knowledge
Favorite Auto manufacturers are continuously adding new controls, interfaces, and intelligence into their vehicles. They publish manuals detailing how to use these functions, but these handbooks are cumbersome. Because they consist of hundreds of pages in several languages, it can be difficult to search for relevant information about specific features.
Favorite In a project-based organisation, we can look at Knowledge Management on two orthogonal axes which together map out the space within which knowledge flows. These are the in-project axis and the cross-project axis. Imagine a large project-based organisation, with multi-disciplinary projects operating in many different regions or divisions. KM
Shared by AWS Machine Learning December 18, 2019
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