Have you ever wondered how Google Maps works? How does the application calculate the fastest route for you, and how does it do this so quickly? The answer might surprise you – at the backbone of these navigational applications and software is graph theory.
According to the independent website Government Technology, “Many government agencies have an unstructured data nightmare, with bits and bytes scattered across servers, clouds and hypervisors.” Vernor Vinge calls this so-called nightmare “data glut.” In an era of Internet of Things (IoT), the data glut may not get better, and, in fact, is likely to get worse.
Every day, billions of people connect to the internet. When you log on to your favorite website, mitre.org for example, you can be quite safe in assuming that what you get is the real MITRE website and not a random server pretending to be mitre.org to steal information. You can also safely assume that you are the only one who can log on to your bank account and access all the information contained in it.
Quantum technologies frequently appear in popular science articles and can also be a popular speculative conversation topic among interested professionals. This is for good reason: Quantum technologies have the potential to be game changing in many ways, but that fact can be misleading as to how soon, and how direct, those impacts will be to our everyday lives. As a trusted advisor to many government sponsors, MITRE explains these technologies and aims to temper expectations when necessary.
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.