A Technology Broker and Management Company Specializing in KM Systems
Favorite Customers often need to identify single objects in images; for example, to identify their company’s logo, find a specific industrial or agricultural defect, or locate a specific event, like hurricanes, in satellite scans. In this post, we showcase how to train a custom model to detect a single object
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Shared by AWS Machine Learning August 12, 2020
Favorite Amazon SageMaker notebooks now support R out-of-the-box, without needing you to manually install R kernels on the instances. Also, the notebooks come pre-installed with the reticulate library, which offers an R interface for the Amazon SageMaker Python SDK and enables you to invoke Python modules from within an R
Read More Shared by AWS Machine Learning August 12, 2020
Favorite Very often the Knowledge Management professional (especially the Knowledge Engineer) will get involved in the mechanics of Knowledge Capture. This is where they need to be fully objective, and avoid “leading the witness”. Image from Wikimedia If you, as Knowledge Manager, are involved in a Knowledge Capture service, the purpose
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Shared by Nick Milton August 12, 2020
Favorite Amazon Comprehend now supports Amazon Virtual Private Cloud (Amazon VPC) endpoints via AWS PrivateLink so you can securely initiate API calls to Amazon Comprehend from within your VPC and avoid using the public internet. Amazon Comprehend is a fully managed natural language processing (NLP) service that uses machine learning
Read More Shared by AWS Machine Learning August 11, 2020
Favorite We’re excited to announce that Amazon Forecast can now use Convolutional Neural Networks (CNNs) to train forecasting models up to 2X faster with up to 30% higher accuracy. CNN algorithms are a class of neural network-based machine learning (ML) algorithms that play a vital role in Amazon.com’s demand forecasting
Read More Shared by AWS Machine Learning August 11, 2020
Favorite We recently published a new whitepaper, Machine Learning Best Practices in Financial Services, that outlines security and model governance considerations for financial institutions building machine learning (ML) workflows. The whitepaper discusses common security and compliance considerations and aims to accompany a hands-on demo and workshop that walks you through
Read More Shared by AWS Machine Learning August 10, 2020
Favorite A few years ago I compared published cultural dimensions for various countries against a proxy measure of KM maturity. This blog post repeats that analysis with more recent, and more complete, data. One of the most famous (although controversial) studies of national culture was by Geert Hofstede. Hofstede looked
Read More Shared by Nick Milton August 10, 2020
Favorite In the rush of our daily lives, we often have conversations that contain ambiguous or incomplete sentences. For example, when talking to a banking associate, a customer might say, “What’s my balance?” This request is ambiguous and it is difficult to disambiguate if the intent of the customer is
Read More Shared by AWS Machine Learning August 7, 2020
Favorite The link between Data, Information and Knowledge is not as simple as the three being a linear progression. Knowledge is something you ADD to Data and Information, rather than something that arises FROM Information. As an illustration, consider the link between data, information and knowledge as they are involved
Read More Shared by Nick Milton August 6, 2020
Favorite There are many techniques to train deep learning models with a small amount of data. Examples include transfer learning, few-shot learning, or even one-shot learning for an image classification task and fine-tuning for language models based on a pre-trained BERT or GPT2 model. However, you may still have a
Read More Shared by AWS Machine Learning August 5, 2020