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 and care providers are struggling to deliver on the promise of precision medicine and contain the cost of reliable and equitable healthcare systems. Robust and efficient solutions are necessary to support the wellness of citizens as well as the economic and social progress of the country.

Through the applied use of digital twin technologies, healthcare system stakeholders can gain the insights needed to identify opportunities to improve cost efficiency and the quality of care for 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 human health and healthcare systems.

The Fourth Industrial Revolution (4IR) promises to deliver endless growth and profit opportunities to all businesses that can correctly navigate the era’s rapid pace of change and technological advances. But first, supply chains must advance to meet the speed, risk and performance demands of the 4IR. To make this leap, organizations must be able to predict with better accuracy the full impact of dynamics across their entire business ecosystem and have the ability to take the right actions at the right time to achieve the desired business results.

While most organizations are well versed in managing distinct supply chain phases, it’s the dynamic complexity of constantly adapting, hyper-connected ecosystems that create the biggest pain point for businesses. Using a range of specific cases across various markets and industries, our research illustrates the need for a scientific method of predictive emulation in order to provide rational and unbiased mechanisms to advance multi-stakeholder, systems thinking in ways that harness the opportunities of 4IR, respond at the required speed and cost, and fulfill the goals of sustainability agendas.

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.