The Tyranny of Uncertainty: A New Framework to Predict, Remediate and Monitor Risk - Tapa dura

Acerca del autor

Nabil Abu el Ata, as the CEO and founder of Accretive Technologies, he has invested over 20 years maturing the science of risk management and the practical application of the company’s solution offering, X-Act OBC Platform, with over 15 patents. He offers a breadth of analytical skills, risk management and business intelligence expertise, as well as IT and business process management knowledge. In the late 1970s Dr. Abu el Ata's mathematical discoveries provided accurate coordinates for space exploration. By solving a problem that was previously defined as unsolvable, Dr. Abu el Ata set the foundation for a new era of risk management, which today enables companies to more accurately predict future system behaviors and take strategic actions to improve business outcomes.

Rudolf Schmandt has implemented risk management systems for major German banks and is widely applauded for his abilities to trouble-shoot high-end Unix systems. Major career milestones include successful execution of a 47 country EMEA IT consolidation and reorganization, which resulted in a much less complex footprint and lower costs, as well as, 10 years of success managing one of the biggest outsourcing deals worldwide. In his current position as Head of EMEA and Retail production for Deutsche Bank and Postbank Systems board member, he maintains responsibilities for production within EMEA. His aspirations include the development and design of the next generation of IT operations for the region, which serves 60,000+ users with E2E services.

De la contraportada

The authors offer a revolutionary solution to risk management. It’s the unknown risks that keep leaders awake at night—wondering how to prepare for and steer their organization clear from that which they cannot predict. Businesses, governments and regulatory bodies dedicate endless amounts of time and resources to the task of risk management, but every leader knows that the biggest threats will come from some new chain of events or unexpected surprises—none of which will be predicted using conventional wisdom or current risk management technologies and so management will be caught completely off guard when the next crisis hits. By adopting a scientific approach to risk management, we can escape the limited and historical view of experience and statistical based risk management models to expose dynamic complexity risks and prepare for new and never experienced events.