A Technology Broker and Management Company Specializing in KM Systems
Favorite This is a guest blog post by David A. Smith at Thermo Fisher. In their own words, “Thermo Fisher Scientific is the world leader in serving science. Our Mission is to enable our customers to make the world healthier, cleaner, and safer. Whether our customers are accelerating life sciences
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Shared by AWS Machine Learning August 13, 2020
Favorite Following strong customer demand, AWS has expanded the availability of Amazon EC2 Inf1 instances to five new Regions: US East (Ohio), Asia Pacific (Sydney, Tokyo), and Europe (Frankfurt, Ireland). Inf1 instances are powered by AWS Inferentia chips, which Amazon custom-designed to provide you with the lowest cost per inference
Read More Shared by AWS Machine Learning August 13, 2020
Favorite How do Japanese organisations approach best pratice sharing? Let’s look at Yokoten Workers exchanging knowledge (genchi gembutsu) Japan, exemplified by Toyota, has developed its own flavour of Knowledge Management. Together with a local focus on knowledge development (Kaizen), knowledge documentation (A3) and the behaviours of Hansei we can add
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Shared by Nick Milton August 13, 2020
Favorite How do Japanese organisations approach best pratice sharing? Let’s look at Yokoten Workers exchanging knowledge (genchi gembutsu) Japan, exemplified by Toyota, has developed its own flavour of Knowledge Management. Together with a local focus on knowledge development (Kaizen), knowledge documentation (A3) and the behaviours of Hansei we can add
Read More Shared by Nick Milton August 13, 2020
Favorite Getting relevant recommendations in front of your users at the right time is a crucial step for the success of your personalization strategy. However, your customer’s decision-making process shifts depending on the context at the time when they’re interacting with your recommendations. In this post, I show you how
Read More Shared by AWS Machine Learning August 12, 2020
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
Read More 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
Read More 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