A Technology Broker and Management Company Specializing in KM Systems
Favorite We hear a lot about communities of practice and social networks in Knowledge Management, but we should not lose sight of the other dimension of the knowledge equation – the work teams. Image from wikimedia commons Work teams are often the way work gets done in organizations, and a
Read More
Shared by Nick Milton June 10, 2020
Favorite Today, we are pleased to announce the addition of Recommendation Filters in Amazon Personalize, which improve the relevance of personalized recommendations by filtering out recommendations for products that users have already purchased, videos they have already watched, or other digital content they have already consumed. Receiving such recommendations can
Read More
Shared by AWS Machine Learning June 9, 2020
Favorite The short-term/long-term balance is critical in KM. The business of KM is long term culture and behaviour change, but the company will have no patience for the long term, if you do not deliver benefits in the short term. The balance between short term and long term is tied
Read More Shared by Nick Milton June 9, 2020
Favorite In the embedded video below you can find 10 case studes which illustrate the value delivered by health librarians, who are a main component in the KM systems used in the UK National Health Service. The video is entitled “Health Librarians and Knowledge Specialists Impact Case Study Vignettes” and
Read More Shared by Nick Milton June 8, 2020
Favorite Many AWS customers already use the popular open-source statistical computing and graphics software environment R for big data analytics and data science. Amazon SageMaker is a fully managed service that lets you build, train, and deploy machine learning (ML) models quickly. Amazon SageMaker removes the heavy lifting from each
Read More Shared by AWS Machine Learning June 6, 2020
Favorite Amazon SageMaker is a fully managed service that allows you to build, train, and deploy machine learning (ML) models quickly. Amazon SageMaker removes the heavy lifting from each step of the ML process to make it easier to develop high-quality models. In August 2019, Amazon SageMaker announced the availability
Read More Shared by AWS Machine Learning June 6, 2020
Favorite Amazon Forecast is a fully managed service that uses machine learning (ML) to generate highly accurate forecasts without requiring any prior ML experience. Forecast is applicable in a wide variety of use cases, including estimating product demand, supply chain optimization, resource planning, energy demand forecasting, and computing cloud infrastructure
Read More Shared by AWS Machine Learning June 5, 2020
Favorite Tabular data is a primary method to store data across multiple industries, including financial, healthcare, manufacturing, and many more. A large number of machine learning (ML) use cases deal with traditional structured or tabular data. For example, a fraud detection use case might be tabular inputs like a customer’s
Read More Shared by AWS Machine Learning June 5, 2020
Favorite Knowledge management delivers maximum value when applied to high value knowledge, to support high value decisions, and in areas where that knowledge is otherwise at risk of being lost. A typical high value area where major decisions will be made is Mergers and Acquisitions. Image from wikimedia commons,Merger of
Read More Shared by Nick Milton June 5, 2020
Favorite AWS Deep Learning AMI (Ubuntu 18.04) is optimized for deep learning on EC2 Accelerated Computing Instance types, allowing you to scale out to multiple nodes for distributed workloads more efficiently and easily. It has a prebuilt Elastic Fabric Adapter (EFA), Nvidia GPU stack, and many deep learning frameworks (TensorFlow,
Read More Shared by AWS Machine Learning June 4, 2020