A Technology Broker and Management Company Specializing in KM Systems
Favorite A great video from the TRADOC Facebook page, which I saw on Linked-In and share here. General Funk refers to one of his principles – TOPS (Take Other People’s Stuff) – as the rationale behind KM. More on TOPS here. View Original Source (nickmilton.com) Here.
Favorite Someone senior has asked you to introduce Knowledge Management and is providing you with some time and budget for this. What should you ask them to do for you in return? Most or all KM initiatives have an executive sponsor (there are some that do not have one, the
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Shared by Nick Milton May 17, 2021
Favorite For data scientists and machine learning (ML) developers, data preparation is one of the most challenging and time-consuming tasks of building ML solutions. In an often iterative and highly manual process, data must be sourced, analyzed, cleaned, and enriched before it can be used to train an ML model.
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Shared by AWS Machine Learning May 15, 2021
Favorite This is the second in a two-part series on the Amazon SageMaker Ground Truth hierarchical labeling workflow and dashboards. In Part 1: Automate multi-modality, parallel data labeling workflows with Amazon SageMaker Ground Truth and AWS Step Functions, we looked at how to create multi-step labeling workflows for hierarchical label
Read More Shared by AWS Machine Learning May 14, 2021
Favorite Machine learning (ML) is realized in inference. The business problem you want your ML model to solve is the inferences or predictions that you want your model to generate. Deployment is the stage in which a model, after being trained, is ready to accept inference requests. In this post,
Read More Shared by AWS Machine Learning May 14, 2021
Favorite Neural networks have proven effective at solving complex computer vision tasks such as object detection, image similarity, and classification. With the evolution of low-cost GPUs, the computational cost of building and deploying a neural network has drastically reduced. However, most techniques are designed to handle pixel resolutions commonly found
Read More Shared by AWS Machine Learning May 13, 2021
Favorite Whether you’re watching a live broadcast of your favorite soccer team, having a video chat with a vendor, or calling your bank about a loan payment, streaming speech content is everywhere. You can apply a streaming transcription service to generate subtitles for content understanding and accessibility, to create metadata
Read More Shared by AWS Machine Learning May 12, 2021
Favorite Medical data is highly contextual and heavily multi-modal, in which each data silo is treated separately. To bridge different data, a knowledge graph-based approach integrates data across domains and helps represent the complex representation of scientific knowledge more naturally. For example, three components of major electronic health records (EHR)
Read More Shared by AWS Machine Learning May 12, 2021
Favorite There are three main classes of challenge to introducing KM. We can call them Awareness, Willingness, and Ability Mountain challengeCresta route, Ben Nevis The awareness challenge can be summed up as follows The people who have the crucial knowledge, are often unaware that they have it, unaware how valuable
Read More Shared by Nick Milton May 12, 2021
Favorite A common problem in manufacturing is verifying that products meet quality standards. You can use manual inspection on a subset of the products, but it’s usually not scalable enough to meet demand as production grows. In this post, I go through the steps of creating an end-to-end machine vision
Read More Shared by AWS Machine Learning May 11, 2021