Build a unique Brand Voice with Amazon Polly

Favorite AWS is pleased to announce a new feature in Amazon Polly called Brand Voice, a capability in which you can work with the Amazon Polly team of AI research scientists and linguists to build an exclusive, high-quality, Neural Text-to-Speech (NTTS) voice that represents your brand’s persona. Brand Voice allows

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Shared by AWS Machine Learning February 5, 2020

Registration for Amazon re:MARS is Now Open

Favorite Amazon re:MARS 2020 is June 16–19 in Las Vegas, Nevada. Arrive early for our new Developer Day, then join Jeff Bezos, Jon Favreau, and others at Amazon’s event dedicated to machine learning, automation, robotics, and space. re:MARS 2020 brings together leaders and builders across industries for immersive sessions from

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Shared by AWS Machine Learning February 5, 2020

The Knowledge Manager as Gardener – an organic metaphor

Favorite People often think of Knowledge as being Organic, or being an Ecosystem. But what does this imply for Knowledge Management and for the Knowledge Manager?  gardener, Filoli, by David McSpadden on Flickr The ecosystem or the garden is a pretty good metaphor for the world of Knowledge in an

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Shared by Nick Milton February 5, 2020

To share more knowledge, build bigger tribes

Favorite We are built to share knowledge within our tribes. To improve knowledge sharing, build bigger tribes. Papua New Guinea – True North –on Flickr – source/credit: North Star Cruises. Photograph by David Kirkland.  Attribution-NoDerivs 2.0 Generic (CC BY-ND 2.0) As humans, we have  always had the ability, through language

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Shared by Nick Milton February 3, 2020

Challenges for a new CKO (NASA video)

Favorite In this video, Ed Hoffman (ex-CKO of NASA) talks about some of the challenges facing a new CKO trying to introduce a new KM program. He concludes The KM program has to “fit” the organisation, and how people work The KM program should address pain points for people and

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Shared by Nick Milton January 31, 2020

Amazon Comprehend now supports multi-label custom classification

Favorite Amazon Comprehend is a fully managed natural language processing (NLP) service that enables text analytics to extract insights from the content of documents. Amazon Comprehend supports custom classification and enables you to build custom classifiers that are specific to your requirements, without the need for any ML expertise. Previously, custom

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Shared by AWS Machine Learning January 30, 2020