* What exacly does sharing knowledge really mean?
* What are the top 5 current issues in KM?
* Which 3 KM technologies are hot and which are not?
* What KM strategies yield the quickest returns with the lowest risk?
* How do you leverage innovation with current technologies?
* What is the best way to discover & qualify social capital?
* Why is it important to understand knowledge vs. information qualities when implementing KM projects?
* Do books really contain knowledge and can your knowledge be stolen?
* What is the 'best' way to validate knowledge claims?
* If knowledge is emmergent, how can it be transferred, recorded and captured in assets?
* How does KM really link and connect with SFM, SCM, CRM, e-Learning and customer service centers?
Would love to hear your key KM questions
Try to see expression not as input, but as the presentation (View) created by a generative grammar (Renderer) on an assertion-based model.
This is the way CGI works. The decomposition to input approach is why machine translation fails.
Posted by: David Locke | January 26, 2004 at 08:02 PM
The big question for me, perhaps too big (!), is the where you draw the line between expression and computation.
As languages become more expressive, they become harder to formalise, and so harder to gain any computational tractability from. But expressive languages are what we do.
Without knowing where that line is, when we're growing these knowledge system, we'll have no idea when to plant and when to prune. And I really don't want agents all over the lawn.
Posted by: Piers Young | January 19, 2004 at 12:36 PM