How do you get ahead of stories like Greece's debt crisis? What did the story look like before it became a story? Quantum4D was designed to potentially enable a billion brains to work together in shared digital mindspace. A hybrid of statistics and structural understanding provides transparency, efficiency and network awareness (but on cross industry scale) necessary to anticipate risks and mitigate systemic crisis.
Who knew when and how did the story evolve? How would a billion brains be able to see and communicate early warnings of global to local inflection points? How would you manage the dissemination of inforamtion We're going to following the recent developments in Greece here on our new blog to illustrate how a hybrid social network, analysis environment and predictive markets engine might combine to provide an early warning system in the pre-crisis noise.
So, to get ahead of stories like Greece, you assume people who have an interest in a topic will link to top level views of a domain, These can be interlinked top and are dynamic within the scope of a non-web based interface. As new data comes into the system (i.e. sources on capital markets, fiscal policy, politics, etc..) flag alerts subscribed to by the user will lead them to drill down for details. Within organizations, users can import existing structural models of their domain (i.e. asset classes, legal relationships, holdings). These already exist and can be transformed into a shared data universe in minutes.
