Rapidly rising complexity is a precursor of a crisis. Beyond Machine Learning.
Complexity technology establishes a radically innovative means of anticipating crises. Systems under severe stress or on a path to collapse undergo rapid complexity fluctuations or exhibit a consistent growth of complexity. If complexity is not measured, these precious crisis precursors will go unnoticed.
We detect anomalies or pre-crisis states without using machine learning for one very good reason: our clients don’t have the luxury of multiple failures to teach a piece of software to recognize it or to establish the presence of rules.
Our complexity-based crisis anticipation functions in real-time and may be applied to:
Car/aircraft electronic systems
Systems of systems
A crisis cannot always be predicted but it is possible to identify pre-crisis conditions and scenarios. Be warned of problems before it is too late. Connect our Quantitative Complexity Management engine to your IT infrastructure and monitor your own complexity.
Crisis anticipation via constant complexity monitoring produces an additional and unique outcome of paramount importance: it provides quantitative information about the worst-case scenario. In other words, we can actually answer a key question:
How Bad Can It Get?
The critical state, which is known as critical complexity, and which every system possesses, is not a state of equilibrium. It changes with its environment. It changes quickly. This means that the worst-case scenario is in a state of permanent mutation. What is important is that independently of the context we are able to measure critical complexity and to pinpoint its drivers. Can one build a solid strategy without knowing what the worst case looks like?