A Technology Broker and Management Company Specializing in KM Systems
Favorite AWS DeepRacer is the fastest way to get rolling with machine learning (ML). It’s a fully autonomous 1/18th scale race car driven by reinforcement learning, a 3D racing simulator, and a global racing league. Throughout 2020, tens of thousands of developers honed their ML skills and competed in the
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Shared by AWS Machine Learning November 13, 2020
Favorite At AWS, our mission is to enable developers and businesses with no prior machine learning (ML) expertise to easily build sophisticated, scalable, ML-powered applications with our AI services. Today, we’re excited to announce that Amazon Lex and Amazon Polly are expanding language support. You can build ML-powered applications that
Read More Shared by AWS Machine Learning November 13, 2020
Favorite Welcome to the latest edition of “My Path to Google,” where we talk to Googlers, interns and alumni about how they got to Google, what their roles are like and even some tips on how to prepare for interviews. Having spent his childhood between London, Milan and Dhaka, Bangladesh,
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Shared by Google AI Technology November 12, 2020
Favorite Amazon Polly turns text into lifelike speech, allowing you to create applications that talk and build entirely new categories of speech-enabled products. We’re thrilled to announce the launch of a brand-new, British Newscaster speaking style voice: Amy. The speaking style mimics a formal and authoritative British newsreader. This Newscaster
Read More Shared by AWS Machine Learning November 11, 2020
Favorite Amazon SageMaker is a fully managed service that provides every machine learning (ML) developer and data scientist with the ability to build, train, and deploy ML models quickly. Amazon SageMaker Studio is a web-based, integrated development environment (IDE) for ML that lets you build, train, debug, deploy, and monitor
Read More Shared by AWS Machine Learning November 11, 2020
Favorite Any lesson learning system requires a method for escalating lessons. However escalated lessons may need to break through “knowledge bubbles”. How do we reconcile these two issues? Rainbow bubble by Lena on Flickr As we have often argued on this blog, the purpose of lesson learning is to drive
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Shared by Nick Milton November 11, 2020
Favorite AWS is excited to announce the winner of the AWS DeepComposer Chartbusters The Sounds of Science Challenge, Sungin Lee. AWS DeepComposer gives developers a creative way to get started with machine learning (ML). In June, we launched Chartbusters, a monthly global competition during which developers use AWS DeepComposer to
Read More Shared by AWS Machine Learning November 10, 2020
Favorite Knowing when to stop KM implementation – to “declare victory” and stand down the implementation team – is as big a decision as starting KM in the first place. Image from wikimedia commons I am a proponent of viewing KM implementation as a project, and projects have start dates
Read More Shared by Nick Milton November 10, 2020
Favorite In 2008 David Snowden published a landmark article on 7 KM principle, mainly focusing on the supply side of knowledge management. The post below, upcycled from 2012, aims to present similar principles from the demand side. Principles by Nick Youngson CC BY-SA 3.0 Alpha Stock Images David’s 2008 post is currently (Nov
Read More Shared by Nick Milton November 9, 2020
Favorite Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). SageMaker Studio lets data scientists spin up Studio notebooks to explore data, build models, launch Amazon SageMaker training jobs, and deploy hosted endpoints. Studio notebooks come with a set of pre-built images, which consist
Read More Shared by AWS Machine Learning November 7, 2020