A Technology Broker and Management Company Specializing in KM Systems
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
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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
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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
Favorite The machine learning (ML) model-building process requires data scientists to manually prepare data features, select an appropriate algorithm, and optimize its model parameters. It involves a lot of effort and expertise. Amazon SageMaker Autopilot removes the heavy lifting required by this ML process. It inspects your dataset, generates several
Read More Shared by AWS Machine Learning August 5, 2020
Favorite As machine learning (ML) applications become more popular, customers are looking to streamline the process for developing, deploying, and continuously improving models. To reliably increase the frequency and quality of this cycle, customers are turning to ML operations (MLOps), which is the discipline of bringing continuous delivery principles and
Read More Shared by AWS Machine Learning August 5, 2020
Favorite Are you bored of the same old board games? Tired of going through the motions with charades week after week? In need of a fun and exciting way to mix up game night? Well we have a solution for you! From the makers of AWS DeepLens, Guess My Drawing
Read More Shared by AWS Machine Learning August 5, 2020
Favorite We’re extremely excited to share the Deep Graph Knowledge Embedding Library (DGL-KE), a knowledge graph (KG) embeddings library built on top of the Deep Graph Library (DGL). DGL is an easy-to-use, high-performance, scalable Python library for deep learning on graphs. You can now create embeddings for large KGs containing
Read More Shared by AWS Machine Learning August 5, 2020
Favorite Businesses and organizations are increasingly using video and audio content for a variety of functions, such as advertising, customer service, media post-production, employee training, and education. As the volume of multimedia content generated by these activities proliferates, businesses are demanding high-quality transcripts of video and audio to organize files,
Read More Shared by AWS Machine Learning August 4, 2020
Favorite Machine learning (ML) workflows orchestrate and automate sequences of ML tasks, including data collection, training, testing, evaluating an ML model, and deploying the models for inference. AWS Step Functions automates and orchestrates Amazon SageMaker-related tasks in an end-to-end workflow. The AWS Step Functions Data Science Software Development Kit (SDK)
Read More Shared by AWS Machine Learning August 4, 2020