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Showing posts with the label Knowledge Management

Coding with Cascade

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Using SVG for interactive knowledge graphs A while ago I built an interactive knowledge graph visualiser using svg. The code has long been lost, and I wondered how hard it would be to re-create it.   Like all good programmers, I'm lazy, so I asked Cascade to write it for me. Here's the first output: Alas, you can't see the hover text in the image, but it's there in the svg. It took  under 20 minutes of pairing with Cascade to create a json schema, a test file and the python code to create the svg. In the next 10 minutes  I got Cascade to generate a unit test, document the code, commit and push to GitHub. I've found that AI makes it possible to create simple tools in minutes, but only if you are an experienced developer and take the time to learn how to pair productively with AI.

Three strategies to manage Technology Overload

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If you're reading this you're probably a knowledge worker . Your value lies in the knowledge at your disposal and your ability to apply it. There are daily advances in every field of technology, and you are subjected to a flood of new knowledge competing for your attention. It's easy to feel overwhelmed. In this article, you'll read a brief introduction to the flood of information overload and its causes. see three strategies you can use to cope with that flood. see how to avoid getting overwhelmed by the range of tools - otherwise the cure will be worse than the disease! But first - what's the problem? What's the problem? The Explosion of Information Edholm's Law states that Internet traffic now follows the same pace of growth as Moore's Law. That poses a huge problem for knowledge workers. Here's a picture of the problem: The knowledge gap If that worries you, you're not alone. Professor Eddie Obeng explores the Kno...