Mr. Morris E. Jones
Business Unit Manager
Cable Network Operation
Intel Corporation
350 East Plumeria; Mail Stop CHP3-105
San Jose, CA 95124
..
Subject:
SDS Standard Knowledge Management
Dear Morris,
Thanks for taking the time the other evening to find some
documentation
for
Windows versions of DOS. I know this is not fun, and seems like a big waste of
time, so your willingness to make the effort is greatly appreciated.
..
Attached to this letter is a short note from Jack Park to the troops at SRI. He
is citing another source, indicating it has elements of Com Metrics. The
gravamen of this notice supports the proposition that SDS sets the standard
for effective Knowledge Management.
A big question is how big is the demand? Jack points the
team to the Welch web site
where there is a phone number people can call to get
a solution.
.. No calls.
A call doesn't take much effort, indicating lack of real demand.
..
Some on the SRI team are putting in a lot of effort on Doug's KM project. On
June 15 a concensus was cited during a meeting at SRI that
Knowledge Management
is too difficult to understand,
and so the team decided to create a better
email program, instead of Knowledge Management. As mentioned, on 000824, Eric
reported that
Doug proposes doing an SDS type email program.
Of course work product on the Welch web site is only
10% of SDS.
..
This supports your analysis that people don't want to
do KM, they want to work on building a KM program to sell to others whom they
hope want to do KM. But nobody else seems to knows how to do KM, so they
cannot create technology for it. Is our knowledge and experience then an
asset? How to exploit it to generate a revenue stream?
.. The past month, have done a lot to make SDS easier for folks to use.
Functions are more "intelligent" by doing tasks that are different, but seem
similar enough at the conscious span of attention that it appears "logical" to
use the same function key or menu description. Combining commands further
reduce the choices people have to make to get things done. This makes SDS
easier to learn, and to use doing daily work. As you mentioned before, the
more we think about things the greater the insight about nuance. The same
occurs in doing things over and over. We recognize patterns. These patterns
can then be organized to give the appearance of "intelligence" in the tools.
Of course the tools are not really intelligent, they are just wired to appear
so by reducing the time and effort needed to accomplish useful tasks.
.. In any case, that is why I want to get the
utilities we have been discussing.
They further reduce the steps people have to take to transfer records to the
web. Fewer steps mean faster learning and early reinforcement of perceived
value, essential to hold a customer, which you have been emphasizing is
critical.
.. Is there anything I can do to help? Is there anything in the new
documentation that might provide interim relief, some kind of helpful work
around, on the Medit memory problem?
We get to this link by way of his egroups list called "emouth" and this
post:
.. http://www.egroups.com/message/emouth/15 ..
"We can look at web logs as trains of thought.
Web logs and
personal thought trains share some common properties. They
are both sequences of events recorded chronologically; they
both hair into a background of knowledge. Just like thought
trains, some web logs are intentionally directed towards goals,
while other's seem to meander across a tapestry which only
characterize the interest of the particular author.
.. I am interested here in the kinds of knowledge that can be
gleaned by the intersection of web logs. An intersection
is defined as when two (or more) web logs point to the same
web page (or usenet article). How can we characterize these
intersections and what kind of knowledge can we harvest from
them? In some cases the intersection might only be evidence
that the authors read each other's logs (spreading gossip);
in other cases it might be evidence that two authors with
common intention have both found a common resource; other
cases might be evidence of behind the scenes (not public)
collusion, collaboration, or conspiracy; other cases might
be predictive of trends. As the popularity of web logs
grow, I think this will become a fertile source for
data mining."
.. A home page where he begins the discussion is at: