Predictive Risk Analytics (PRA) and MPP; Press Release

We have some interesting new news regarding our Partner Ontonix and our joint ability to apply Ontonet Predictive Risk Analytics (PRA) software to extremely complex problems which require different compute processing strategies and technologies. One such technology, MPP or Massively Parallel Processing, is explained in today's press release. Como, Italy March 14-th 2014. Ontonix, and SCS Super Computing Solutions, a CINECA company, have signed a partnership agreement, aiming at joint development of OntoNet™ MPP and solution of the so-called Extreme Problems. Such problems are generally multi-disciplinary in nature and involve millions of variables. Their solution requires non-traditional model-free approaches such as those developed by Ontonix and offered in its Quantitative Complexity Management (QCM) engine Ontonet™."Extreme Problems are very difficult to treat with conventional means and generally lead to states of persistent inefficiency, huge losses and/or delays. In the majority of cases, this is caused by hidden and excessive complexity. It is therefore paramount to re-formulate such problems from a totally new perspective, aiming at the quantification of complexity and determining its makeup" said Dr. J. Marczyk, President of Ontonix. "The scalar version of OntoNet™ is able to tackle problems of moderate size, involving thousands of variables. The development of a Massively Parallel Processing (MPP) version of our QCM engine will allow us to attack problems of a totally different magnitude and nature" he added. "Our partnership with SCS is not only of strategic importance to Ontonix, it allows us to develop new success-fee-based business models" he concluded. Extreme problems are very large-scale multi-disciplinary problems, involving thousands of variables and which cannot be solved using conventional technology. In such situations, it is impossible to determine the cause of the problem not only because of its sheer size but, most importantly, because it is frequently perceived through conventional eyes and distorted by narrow and linear thinking. It is not a matter of compute power or sophisticated math modeling - some things just cannot be modelled. Examples of extreme problems:

  • Unexpected collapses of critical systems or infrastructures (markets, transportation systems, IT networks, large corporations, etc.)
  • Prolonged states of crisis, inefficiency or frequent system failures (process plants, transportation systems, economies, telephone networks, etc.)
  • Sudden catastrophic collapse (spacecraft, aircraft, software systems, ecosystems, etc.)

 Clearly, extreme problems cause extreme consequences and losses.When it comes to man-made systems, bad design is often the cause. The inability of conventional science to embrace the systems perspective of things on the one hand, and neglecting their complexity on the other provide an efficient barrier to solving extreme problems.Because in the majority of cases it is excessive and uncontrolled complexity that leads to severe consequences and extreme problems, Ontonix attacks them with its patented model-free Quantitative Complexity Management technology. In collaboration with supercomputer centers, Ontonix provides radically innovative means of formulating and solving extreme problems. We actually measure complexity, identify its sources, performing multi-level Complexity Profiling of systems and sub-systems until a solution is found. In huge and complex systems things often go wrong not because some parameters have the wrong value but because of the countless interactions that may develop. The higher the complexity, the more of such interactions may emerge. What this means is that thanks to high complexity the system in question possesses a marked capacity of producing surprises. Extreme problems not only pose new challenges. They also stimulate innovative business models. In fact, when Ontonix takes on an extreme problem, the following scheme is followed:The client and Ontonix analyze the problem together.The consequences and losses incurred by the client are quantified.As much data about the problem is gathered as possible.Ontonix employs its best efforts to solve the problem. In case of loss reduction/elimination, a percentage of the client´s gains are paid to Ontonix.