Today the financial industry is just as likely to be shocked as it was in 2007. As systems progress and new product and services are introduced, the complexities and the rate of change increases, thereby escalating the risk of another financial crisis.

Financial markets will continue to pose grave risks to the welfare of the global economy as long as economic stakeholders are unable to accurately measure dynamic complexity or understand all the steps required to protect their assets. Through our research and collaboration, we are testing and expanding upon our universal risk management methods to define a better way forward that allows economic stakeholders to predict a potential singularity and act to avoid an even more damaging financial crisis in the future.

Currently many governments are struggling to contain the cost of reliable and equitable healthcare systems. The efficiency of the system is necessary to support the wellness of citizens as well as the economic and social progress of the country.

Through the applied use of universal risk management methods, healthcare system stakeholders can gain the insights needed to create continuous cost management programs by identifying opportunities to improve cost efficiency without reducing the quality of care or denying services to individuals who need access to universal healthcare services. These are ambitious goals that are achievable through industry-wide collaboration aimed at understanding and managing the dynamic complexity inherent in healthcare systems.

After years of theoretical debates and abstract use cases, it is no longer a question of if blockchain will cause market disruption, but rather when and how widely the impact will be felt. Now is the time to remove any outstanding doubts about blockchain applicability and strategically manage the business and operational risks that inevitably come with innovation. The main barrier being how to best plan for and manage the disruption. In all cases, correctly quantifying the threats and opportunities is a requirement for success.

Using a range of specific cases across various markets and industries, including financial services, supply chain and healthcare, our research illustrates how a scientific method of predictive emulation can be used to reveal where the capabilities of blockchain are best suited to solve business problems, quantify the expected improvements and manage the risks in delivering the solution.