Enabling organizations to capture, share, and apply the collective experien
ce and know-how of their people is seen as fundamental economy. As a result
, there has been a wave of enthusiasm and activity centered on knowledge ma
nagement. To make progress in this area, issues of technology, process, peo
ple, and content must be addressed.
In this article, we develop a road map for knowledge management. It begins
with an assessment of the current state of the practice, using examples dra
wn from our experience at Schlumberger. It then sketches the possible evolu
tion of technology and practice over a 10-year period. Along the way, we hi
ghlight ways in which AI technology, present and future, can be applied in
knowledge management systems.