Developing a knowledge management framework for any organization presents a number of challenges and questions. Where do I start? What is the ultimate goal? Is this effort top-down, bottom-up, or middle-out? How many systems do we have and how many do the same thing? When faced with such a task, knowledge managers could be quickly overwhelmed if there is no logical structure and process in place. Numerous pathways and pitfalls could easily derail the effort. However, if the knowledge manager has a reference model that incorporates data, information, knowledge management, and the organization’s myriad systems to serve as a mental model for decision making, chances of success are much higher. In this webinar, Neil Fitzpatrick, Senior Knowledge Manager at Quanterion Solutions Inc., uses the analogy of the construction of a Greek temple to identify the components and processes involved in the development of an efficient and effective organizational data to decision model.
Read the companion CSIAC report: https://www.csiac.org/csiac-report/knowledge-temple-of-decision-making/
cfitzpatrick
2018-07-24 at 13:10A question that came in that we did not have time to address was, ‘how is Artificial Intelligence and Machine Learning affecting knowledge management?’ Short answer: In a big way. AI & ML are having a large effect regarding when humans actually enter the decision making cycle. If you recall the slide on the Dynamic Model of Situated Cognition from the presentation, I failed to mention the red box. The red box indicates the area where AI & ML are having the greatest impact on decision making. Historically, people would be needed to run sensors, aggregate data, package it and present it. Now though, AI & ML are doing more of this work. They have the ability to manage and even change sensor captures based on conditional logic. AI & ML are more present at all levels even toward decision making itself. The classic example is the decision making abilities of the modern automobiles. If information produced by multiple sensors indicate that your speed is too great and your following distance too short, your car will decide to apply the brakes for you. This same logic is starting to be employed regarding the development of courses of action within a military mission context. Fascinating stuff!
Hankbonk
2018-08-07 at 17:08To quote Dr. Spock (original Star Trek red.) :
“It’s quite fascinating !!!”