Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Corporations --- Fraud --- Corrupt practices --- Commercial fraud --- Deceit --- Misrepresentation (Crime) --- Commercial crimes --- Deception --- Torts --- Hoaxes --- Impostors and imposture --- 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

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Public companies now face constant pressure to meet investor expectations. A company must continually deliver strong short-term performance every quarter to maintain its stock price. This valuation treadmill creates incentives for corporations to deceive investors. Published more than twenty years after the passage of Sarbanes-Oxley, which requires all public companies to invest in measures to ensure the accuracy of their disclosures, The Valuation Treadmill shows how securities fraud became a major regulatory concern. Drawing on case studies of paradigmatic securities enforcement actions involving Xerox, Penn Central, Apple, Enron, Citigroup, and General Electric, the book argues that corporate securities fraud emerged as investors increasingly valued companies based on their future performance. Corporations now have an incentive to issue unrealistically optimistic disclosure to convince markets that their success will continue. Securities regulation must do more to protect the integrity of public companies from the pressure of the valuation treadmill.

Securities fraud. --- Securities --- Corporations. --- Valuation. --- 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 --- Blue sky laws --- Capitalization (Finance) --- Investment securities --- Portfolio --- Scrip --- Securities law --- Underwriting --- Investments --- Investment banking --- Stock fraud --- Fraud --- Law and legislation

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

“This book offers a ground-breaking interpretation of class, corporate and state power, through the all-important case study of GE.This extraordinarily valuable work of scholarshipwill transform the field of political economy.” —Alfredo Saad-Filho, Professor of Political Economy and International Development and Chair of International Development, King’s College London, UK “Maher’s impressive book draws on political economy, critical state theory, and historical institutionalism to elaborate a theory of the integral state. It is a major contribution to critical state theory and American political development.” —Clyde W. Barrow, Professor and Chair of Political Science, University of Texas Rio Grande Valley, USA “Maher's excavation of GE delivers an ambitious theoretical treatise offering insights ranging across political economy, finance, the theory of the corporation, the understanding of the American state and the corporate-state nexus.” —Sam Gindin, former Research Director of the Canadian Auto Workers Union This book advances an original conception of the relationship between state and corporate power in the United States. Using what he terms an Institutional Marxist framework, Maher argues that, far from passively responding to interest group pressures, the state has been a key agent in politically mobilizing business, and has played an active role in the organization of lobbying groups. Such business associations do not merely express the pre-existing interests of their corporate members, but are also mechanisms through which the state organizes the political power of the capitalist class. They form part of what the author refers to as an integral state—a wider network of state power which traverses and interpenetrates the state bureaucracy, the legislature, the industrial policy apparatus, and corporate governance. Based on extensive archival research, this book tracks the role of the General Electric Company as a pillar of the integral state in the United States from the finance capital period (1880 to 1930), through the managerial period (1930-1979), to the restructuring leading up to the age of neoliberalism (1979-present). Stephen Maher is a Post-Doctoral Fellow at Ontario Tech University, Canada.

Corporate power --- Business and politics --- History. --- Business --- Politics and business --- Politics, Practical --- Political business cycles --- Political aspects --- Political science. --- Marxian school of sociology. --- Corporate governance. --- Corporations. --- Economic history. --- America --- Political Theory. --- Marxist Sociology. --- Corporate Governance. --- Corporate History. --- American Politics. --- Politics and government. --- Economic conditions --- History, Economic --- Economics --- 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 --- Disincorporation --- Stocks --- Trusts, Industrial --- Governance, Corporate --- Industrial management --- Directors of corporations --- Marxian sociology --- Marxist sociology --- Sociology, Marxian --- Sociology, Marxist --- Communism and society --- Schools of sociology --- Frankfurt school of sociology --- Administration --- Civil government --- Commonwealth, The --- Government --- Political theory --- Political thought --- Politics --- Science, Political --- Social sciences --- State, The