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Building Your Upskilling Strategy: Data vs. People

Degreed

This approach starts with your company’s business plan disaggregated into the top skills needed to support it, resulting in an organization-wide taxonomy for future skills. A peek at their data shows, maybe unsurprisingly, that the top jobs include data scientist, solutions architect, and network development engineer. Data-Driven.

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Data, People, or Something In Between: Clearing Your Path to Career Mobility

Degreed

This approach starts with the company’s business plan disaggregated into the top skills needed to support it, resulting in an organization-wide taxonomy for future skills. A peek at their data shows, maybe unsurprisingly, that the top jobs include data scientist, solutions architect, and network development engineer. Data-Driven.

Mobile 52
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Learning Solutions day 3: Saved the best for the last #LS2011

Challenge to Learn

And if that is not enough they connected these two to Ontologies, Taxonomies, Folksonomies and controled vocabularies. My conclusion was that we needed a mix of meta data and search engines and some other things, only I didn’t know what these other things where. The outcome from that discussion was not open.

Solution 169
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Finders keepers, losers weepers

Clive on Learning

Like it's sibling, usability, findability is a responsibility that often falls between the cracks and is often not properly addressed by authors, designers or engineers. The alternative, of course, is a bottom-up effort whereby users apply their own tags to online content, evolving in the process what are now commonly known as folksonomies.