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Auditing, Internal

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Boards and business leaders expect their key advisors to deliver fresh insights, and increasingly expect them to demonstrate foresight. To achieve what is expected, it is crucial to understand the dynamics of conversations in the boardroom and around the audit committee table. This book provides those unique perspectives. The journey from the mailroom to the boardroom' follows the story of a young banker who moved into the internal auditing profession as part of the new breed', then rose through the ranks into senior leadership and chief audit executive roles, before assuming audit committee and board roles that had an immense influence on governance, risk, compliance, and audit professionals.

Success in business --- Auditing, Internal --- Leadership

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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.

Machine learning. --- Corporations --- Accounting --- Law and legislation. --- Learning, Machine --- Artificial intelligence --- Machine theory --- Auditing, Internal --- Fraud --- Data processing. --- Prevention. --- Business corporations --- C corporations --- Corporations, Business --- Corporations, Public --- Limited companies --- Publicly held corporations --- Publicly traded corporations --- Public limited companies --- Stock corporations --- Subchapter C corporations --- Business enterprises --- Corporate power --- Disincorporation --- Stocks --- Trusts, Industrial --- Auditing --- Internal auditing --- Internal control

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The Bank of Canada (BOC) sets a high benchmark for transparency, which is recognized by its stakeholders, thus maintaining a high level of trust and accountability. The BOC’s transparency practices are broadly aligned with expanded and comprehensive practices as defined by the IMF Central Bank Transparency Code (see Table 1). This is acknowledged by the BOC’s external stakeholders, who view the central bank as an open, dynamic, and transparent public institution.

Money and Monetary Policy --- International Economics --- Finance: General --- Banks and Banking --- Accounting --- Public Finance --- Financial Risk Management --- Monetary Policy --- International Agreements and Observance --- International Organizations --- General Financial Markets: Government Policy and Regulation --- Public Administration --- Public Sector Accounting and Audits --- Financial Institutions and Services: Government Policy and Regulation --- Central Banks and Their Policies --- Monetary economics --- International institutions --- Finance --- Banking --- Financial reporting, financial statements --- Auditing / Audits --- Economic & financial crises & disasters --- Monetary policy --- International organization --- Financial sector stability --- Financial sector policy and analysis --- Financial statements --- Public financial management (PFM) --- International reserves --- Central banks --- Internal audit --- Lender of last resort --- Financial crises --- International agencies --- Financial services industry --- Finance, Public --- Foreign exchange reserves --- Auditing, Internal --- Banks and banking, Central --- Canada