Risk management is an often-used phrase that is rarely fully embedded within the business process and procedures of firms. This book looks at the challenges faced in implementing a risk management framework as well as the key elements of such a framework. It is designed for the business professional that is not an expert in risk management and addresses all of the major risks that are likely to be faced in practice, considering the risk mitigation and measurement techniques that are most likely to be relevant. This is an intermediate book and accordingly does not focus on the mathematical elements but rather provides a readable entry text for anyone seeking information on this important subject.

Bank Regulation: Effects on Strategy, Financial Accounting and Management Control discusses and problematizes how regulation is affecting bank strategies as well as their financial accounting and management control systems. Following a period of bank de-regulation, the new millennium brought a drastic change, with many new regulations. Some of these are the result of the financial crisis of 2008-2009. Other regulations, such as the introduction in 2005 of International Financial Reporting Standards (IFRS) for quoted companies in the EU, can be related to the introduction of a new global accounting regime. It is evident from annual reports of banks that the number of new regulations in recent years is high and that they cover many different functional areas. The objectives of these regulations are also ambitious; to improve governance and control, contributing to a high level of financial stability for banks. These objectives are obviously of great concern for an industry that directly and indirectly affects the financial situation not only of individuals and organizations but also nation states. Considering the importance of banks in society, it is of little surprise that the attention of both scholars and practitioners has been directed towards how banks comply with new regulations and if the intended objectives of the regulations are met. This book will be of great value to all those interested in financial stability matters (practitioners, policy-makers, students, academics), as well as to accounting and finance scholars.

Juxtaposes the ridiculousness and absurdities of daily life with the imagined life through poems about finding a lost cat and not being invited to a party.

Use artificial intelligence (AI) techniques to build tools for auditing your organization. This is a practical book with implementation recipes that demystify AI, ML, and data science and their roles as applied to auditing. You will learn about data analysis techniques that will help you gain insights into your data and become a better data storyteller. The guidance in this book around applying artificial intelligence in support of audit investigations helps you gain credibility and trust with your internal and external clients. A systematic process to verify your findings is also discussed to ensure the accuracy of your findings. Machine Learning for Auditors provides an emphasis on domain knowledge over complex data science know how that enables you to think like a data scientist. The book helps you achieve the objectives of safeguarding the confidentiality, integrity, and availability of your organizational assets. Data science does not need to be an intimidating concept for audit managers and directors. With the knowledge in this book, you can leverage simple concepts that are beyond mere buzz words to practice innovation in your team. You can build your credibility and trust with your internal and external clients by understanding the data that drives your organization. What You Will Learn Understand the role of auditors as trusted advisors Perform exploratory data analysis to gain a deeper understanding of your organization Build machine learning predictive models that detect fraudulent vendor payments and expenses Integrate data analytics with existing and new technologies Leverage storytelling to communicate and validate your findings effectively Apply practical implementation use cases within your organization Who This Book Is For AI Auditing is for internal auditors who are looking to use data analytics and data science to better understand their organizational data. It is for auditors interested in implementing predictive and prescriptive analytics in support of better decision making and risk-based testing of your organizational processes.

The Janeway's Immunobiology CD-ROM, Immunobiology Interactive, is included with each book, and can be purchased separately. It contains animations and videos with voiceover narration, as well as the figures from the text for presentation purposes.