A Technology Broker and Management Company Specializing in KM Systems
Favorite Amazon SageMaker Clarify is a new machine learning (ML) feature that enables ML developers and data scientists to detect possible bias in their data and ML models and explain model predictions. It’s part of Amazon SageMaker, an end-to-end platform to build, train, and deploy your ML models. Clarify was
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Shared by AWS Machine Learning June 24, 2021
Favorite This post is co-authored by Lezgin Bakircioglu, Innovation and Security Manager at Daniel Wellington. In their own words, “Daniel Wellington (DW) is a Swedish fashion brand founded in 2011. Since its inception, it has sold over 11 million watches and established itself as one of the fastest-growing and most
Read More Shared by AWS Machine Learning June 24, 2021
Favorite Do you ever wonder what goes behind bringing various levels of autonomy to vehicles? What the vehicle sees (perception) and how the vehicle predicts the actions of different agents in the scene (behavior prediction) are the first two steps in autonomous systems. In order for these steps to be
Read More Shared by AWS Machine Learning June 22, 2021
Favorite This post is co-written with Raphey Holmes, Software Engineering Manager, and Jason Mackay, Principal Software Development Engineer, at GoDaddy. GoDaddy is the world’s largest services platform for entrepreneurs around the globe, empowering their worldwide community of over 20 million customers—and entrepreneurs everywhere—by giving them all the help and tools
Read More Shared by AWS Machine Learning June 22, 2021
Favorite We are living in a digital age. Information that used to be spread by printouts is disseminated at unforeseen speeds through digital formats. In parallel to the inventions of new types of media, an increasing number of archives and libraries are trying to create digital repositories with new technologies.
Read More Shared by AWS Machine Learning June 21, 2021
Favorite There are many cultural barriers to Knowledge Management implementation, and all of them can be broken Break Through by Joel Bombardier on Flickr There are several cultural elements that can stand in the way of successful Knowledge Management. Some of these barriers are listed below, with thoughts on how
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Shared by Nick Milton June 21, 2021
Favorite Amazon Redshift ML allows data analysts, developers, and data scientists to train machine learning (ML) models using SQL. In previous posts, we demonstrated how customers can use the automatic model training capability of Amazon Redshift to train their classification and regression models. Redshift ML provides several capabilities for data
Read More Shared by AWS Machine Learning June 17, 2021
Favorite What’s the most effective delivery structure for KM? We discuss this below. We recommend six components to the knowledge management delivery and reporting structure, shown here. 1. In the centre is the Chief Knowledge Officer, or head of Knowledge Management; accountable for delivering, maintaining and continually improving the KM
Read More Shared by Nick Milton June 17, 2021
Favorite Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). Studio provides a single web-based visual interface where you can perform all ML development steps required to prepare data, as well as build, train, and deploy models. You can quickly upload data, create new
Read More Shared by AWS Machine Learning June 16, 2021
Favorite Amazon Lookout for Metrics uses machine learning (ML) to automatically detect and diagnose anomalies (outliers from the norm) without requiring any prior ML experience. Amazon CloudWatch provides you with actionable insights to monitor your applications, respond to system-wide performance changes, optimize resource utilization, and get a unified view of
Read More Shared by AWS Machine Learning June 15, 2021