A Technology Broker and Management Company Specializing in KM Systems
Favorite It’s an old saying; How do you change hearts and minds? One at a time! This updated reprise from the archives explains how this works for Knowledge Management. The road of life twists and turns by AndYaDontStop on Flickr Implementing Knowledge Management is a change process – we all
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Shared by Nick Milton September 20, 2019
Favorite Machine learning (ML) is one of the fastest growing areas in technology and a highly sought after skillset in today’s job market. Today, I am excited to announce a new education course, built in collaboration with Coursera, to help you build your ML skills: Getting started with AWS Machine
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Shared by AWS Machine Learning September 19, 2019
Favorite What is the purpose of KM? Why do we do it? What is it’s core objective? This is a subject worth exploring. If we are 100% sure about why we need, or why we do, KM, then we can be clearer about what sort of KM we need, and
Read More Shared by Nick Milton September 19, 2019
Favorite Amazon SageMaker is a fully managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning (ML) models at any scale. When you deploy an ML model, Amazon SageMaker leverages ML hosting instances to host the model and provides an API endpoint
Read More Shared by AWS Machine Learning September 18, 2019
Favorite What KM training will your organisation need as you go through the KM journey? KM training in China Knowledge management Training is part of any KM implementation, but there is no one-size-fits-all KM Training strategy. Instead there are a number of potential training events which will change as your
Read More Shared by Nick Milton September 18, 2019
Favorite Optimization is the process of finding the minimum (or maximum) of a function that depends on some inputs, called design variables. Customer X has the following problem: They are about to release a new car model to be designed for maximum fuel efficiency. In reality, thousands of parameters that
Read More Shared by AWS Machine Learning September 17, 2019
Favorite Creating a global footprint and access to scale are one of the many best practices at AWS. By creating architectures that take advantage of that scale and also efficient data utilization (in both performance and cost), you can start to see how important access is at scale. For example, within autonomous
Read More Shared by AWS Machine Learning September 17, 2019
Favorite Lists of KM thought leaders historically tend to be USA-dominated. Who have we missed from the rest of the world? I published a blog post 5 years ago entitled “KM thought leaders – are they REALLY all from the USA“? In this post I looked at Stan Garfield’s list
Read More Shared by Nick Milton September 17, 2019
Favorite There is more than one type of Knowledge, and KM needs to decide which type requires the main focus and effort. Both linguistically and philosophically there is more than one type of knowledge. This is important, and is an area where the English Language is less than helpful to
Read More Shared by Nick Milton September 16, 2019
Favorite Amazon SageMaker supports all the popular deep learning frameworks, including TensorFlow. Over 85% of TensorFlow projects in the cloud run on AWS. Many of these projects already run in Amazon SageMaker. This is due to the many conveniences Amazon SageMaker provides for TensorFlow model hosting and training, including fully
Read More Shared by AWS Machine Learning September 13, 2019
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