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, energy demand, workforce planning, computing cloud infrastructure usage, traffic demand, supply chain
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Shared by AWS Machine Learning February 20, 2020
Favorite Product life-cycle management (PLM) is a well-established discipline. To support this, we are going to need Product life-cycle knowledge management. Image from wikimedia commons In industry, product lifecycle management is the process of managing the entire lifecycle of a product from inception, through engineering design and manufacture, to service
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Shared by Nick Milton February 20, 2020
Favorite The AWS Machine Learning Research Awards (MLRA) provides unrestricted cash funds and AWS Promotional Credits to academics to advance the frontiers of machine learning (ML) and its applications. MLRA is pleased to announce winners for its 2019 Q2/Q3 call-for-proposal cycles: Mohit Bansal, University of North Carolina Chapel Hill, Auto-Adversarial
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Shared by AWS Machine Learning February 19, 2020
Favorite A recurrent theme on this blog is to address “the 4 legs on the Knowledge Management table” – the four enabling elements of the Knowledge Management Framework (and indeed of any management framework) – roles, processes, technology and governance. In a 2015 blog post entitled “the wobbliest legs on
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Shared by Nick Milton February 19, 2020
Favorite AWS introduced the Machine Learning (ML) Solutions Lab a little over two years ago to connect our machine learning experts and data scientists with AWS customers. Our goal was to help our customers solve their most pressing business problems using ML. We’ve helped our customers increase fraud detection rates,
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Shared by AWS Machine Learning February 18, 2020
Favorite The knowledge manager, seeking to lead the change to a Knowledge Management culture in their own organisation, needs to know how to sell their product. Image from wikimedia commons As a Knowledge Manager, you are asking people to pay attention to something (knowledge) which previously has been ignored. You
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Shared by Nick Milton February 17, 2020
Favorite Amazon SageMaker Operators for Kubernetes allows you to augment your existing Kubernetes cluster with SageMaker hosted endpoints. Machine learning inferencing requires investment to create a reliable and efficient service. For an XGBoost model, developers have to create an application, such as through Flask that will load the model and
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Shared by AWS Machine Learning February 15, 2020
Favorite We hear a lot about the importance of a “no-blame culture” in Lesson-learning, but a no-blame culture won’t work unless you have no-blame processes as well. Image from wikimedia commons Learning lessons in an organisation requires a culture of openness, so that people are willing to explore honestly and
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Shared by Nick Milton February 14, 2020
Favorite As machine learning (ML) becomes a larger part of companies’ core business, there is a greater emphasis on reducing the time from model creation to deployment. In November of 2019, AWS released the AWS Step Functions Data Science SDK for Amazon SageMaker, an open-source SDK that allows developers to
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Shared by AWS Machine Learning February 13, 2020
Favorite In his book “The myths of creativity” , David Burkus demystifies the creative process, and explodes what he calls the top ten myths about creativity, based on his research with highly creative individuals and firms. The ten myths are listed and described below, and David introduces two of them
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Shared by Nick Milton February 13, 2020
Shared by AWS Machine Learning February 20, 2020
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