Delve into the history and meaning of risk, and you may be surprised to find that the word risk has an uncertain etymology. Depending on the domain, definitions of risk may be based on probability, danger, uncertainty, or chance.
So you’ve heard about Symphony™ – MITRE’s automated provisioning framework that rapidly builds secure analytic cells for geospatial, AI, and machine learning applications. Have you tried explaining it to a college student?
There’s thinking about, talking about, and doing, and they all have a time and place in any domain. With data science, though, doers rule. A big bucket of ostensibly random stuff in the hands of a skilled practitioner becomes the stuff of art. Yup, even data about a fire hydrant.—Editor
I believe that knowledge management as a discipline developed because technology enabled the deluge of data we began experiencing about 20 years ago. The ways that we used to organize and share our information were no longer adequate to the task and we needed something new. I’ve spent the last five or six years focusing on data, more specifically on helping organizations treat their data as a strategic asset that requires the same stewardship afforded any other valuable resource within the organization.