A Technology Broker and Management Company Specializing in KM Systems
Favorite Amazon Personalize is a machine learning (ML) service that enables you to personalize your website, app, ads, emails, and more with private, custom ML models that you can create with no prior ML experience. We’re excited to announce the general availability of Amazon Personalize in the EU (Frankfurt) Region.
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Shared by AWS Machine Learning September 15, 2020
Favorite I wrote a blog post yesterday on 4 types of KM plan, and (too late) realised that there were more than 4. Here are another four types. Yesterday’s blog post mentioned the following 4 types of plan, which are all at a fairly high level of granularity. These are:
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Shared by Nick Milton September 15, 2020
Favorite The new Amazon SageMaker Studio Image Build convenience package allows data scientists and developers to easily build custom container images from your Studio notebooks via a new CLI. The new CLI eliminates the need to manually set up and connect to Docker build environments for building container images in
Read More Shared by AWS Machine Learning September 14, 2020
Favorite Knowledge Management plans exist at many scales. Here are 4 of them. KM planning session Implementing KM is a project, and a prject needs a plan. However KM can be implemented at many scales, and many variants of KM plan may be needed. In this post we describe 4
Read More Shared by Nick Milton September 14, 2020
Favorite Amazon SageMaker is a fully managed service that allows you to build, train, deploy, and monitor machine learning (ML) models. Its modular design allows you to pick and choose the features that suit your use cases at different stages of the ML lifecycle. Amazon SageMaker offers capabilities that abstract
Read More Shared by AWS Machine Learning September 11, 2020
Favorite This is a guest post by Anthony Sabelli, Head of Data Science at Kabbage, a data and technology company providing small business cash flow solutions. Kabbage is a data and technology company providing small business cash flow solutions. One way in which we serve our customers is by providing
Read More Shared by AWS Machine Learning September 11, 2020
Favorite Reports are poor places to keep knowledge. However they do have a role to play in Knowledge Management. Image from wikimedia commonsby user Coolcaesar under CC licence Once upon a time, we relied on reports, papers and books to store our knowledge. This was before the Internet, before networked computers, when
Read More Shared by Nick Milton September 11, 2020
Favorite This post is written in collaboration with DevFactory, an AWS Select Technology Partner. DevFactory is an enterprise SaaS-focused company that is responsible for innovation, development, and operation of over 120 enterprise products. DevFactory also offers DevGraph, an integrated suite of software development tools built on AWS. Amazon CodeGuru is
Read More Shared by AWS Machine Learning September 10, 2020
Favorite This guest post was authored by Kazuma Ohara, Director of RENGA Inc., and edited by Yumiko Kanasugi, Solutions Architect at AWS Japan. RENGA Inc. operates Mansion Note, one of Japan’s most popular condominium review and rating websites, which gets over a million unique visitors per month. Mansion Note provides
Read More Shared by AWS Machine Learning September 10, 2020
Favorite When machine learning (ML) is deployed in production, monitoring the model is important for maintaining the quality of predictions. Although the statistical properties of the training data are known in advance, real-life data can gradually deviate over time and impact the prediction results of your model, a phenomenon known
Read More Shared by AWS Machine Learning September 10, 2020