Mastering 21st Century Enterprise Risk Management - 2nd Edition

This book will help you solve one of the biggest problem you face in the post-COVID new normal. How to handle volatility and navigate an uncertain future. It will help you:

• Avoid the traps and pitfalls common in ERM.
• Capitalize on ESG risks as market differentiator.
• Make Executives the drivers of GRC projects, not a victim.
• Link risk to strategy to manage the uncertainty in strategic objectives.
• Combine the best of ISO 31000 and COSO ERM revisions.
• Transform ERM from an overhead to a driver of growth.
• Learn risk best practices of Bayesian modeling, strategic vs risk-based thinking, horizon scanning for threat management and effectively aggregating risk.
• And prepare for the future of ERM – AI-based risk management.
  

Gregory presents proven strategies from  working with the Australian Dept. of Defence, Victorian Infectious Diseases Labs, Serco, and Motorola.

"Mastering 21st century Enterprise Risk Management" is an Executive's Guide for transforming ERM from an overhead to a value-adding driver of growth. It combines the best of ISO 31000 and COSO ERM to deliver bottom-line returns. By linking risk to strategy using Scenario Analysis, Bayesian modeling, and aggregating their effect, it allows organizations to fulfil the primary directive of ISO 31000 – managing the uncertainty in strategic objectives. In the post COVID business environment, managing uncertainty (risk) is not a management technique, it is a survival skill. From working with the Australian Dept. of Defence, Victorian Infectious Diseases Labs, Serco, and Motorola, this book presents a proven set of strategies and practices that can take you to the next level. This book aims to set the foundation that will allow organizations to implement the Future of ERM – AI-based Risk Management. Putting in place Good Governance, Ethics, Strategic Management, and Risk based Auditing, are all necessary perquisites to tackle the two-edged sword that is AI based Risk Management. Understanding the principles of Bayesian statistics, causal mapping, and threat management, puts Executives in the driver's seat. It also sets a solid platform to manage volatility and exploit the vast potential inherent in the full range of artificial intelligence and disruptive technologies available today.

Gregory M. Carroll is an AI based Risk Management evangelist with 30 years exp in ERM, IT, and Artificial Intelligence (AI) systems in mission critical environments like Dept of Defence and Victorian Infectious Disease Ref Labs. Author of "Mastering 21st century Enterprise Risk Management", Greg is a strong advocate for applying Bayesian techniques to Risk Management. Founder and Director of Fast Track (Aust), Greg has extensive experience in implementing both ML and Risk Management for multinationals like Motorola, Fosters and Serco. This includes proactive AI and risk analytics solutions using deep learning to classify risk, random forest for scenario analysis, and Bayesian networks for risk aggregation. Since doing a Graduate Diploma in Computer Simulation (Operations Research) at Swinburne University, he has been heavily involved with computer-based decision tools. Greg also has a Certificate in Machine Learning from Stanford University, in Data Science from the University of Michigan, and is a Microsoft MCP full stack developer.