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[null,"1.","Record Nr.",null,"UNISA990001830910203316"]
[null,null,"Autore",null,"NEUGEBAUER, Heinz"]
[null,null,"Titolo",null,"Anna Seghers / Heinz Neugebauer"]
[null,null,"Pubbl/distr/stampa",null,"Berlin : Volk und Wissen, 1970"]
[null,null,"Descrizione fisica",null,"208 p. ; 19 cm"]
[null,null,"Collana",null,"Schriftsteller der Gegenwart ; 4"]
[null,null,"Collocazione",null,"VII.2. Coll.6/ 3(II t D coll. 1/4)"]
[null,null,"Lingua di pubblicazione",null,"Tedesco"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910548176803321"]
[null,null,"Autore",null,"Sekar Maris"]
[null,null,"Titolo",null,"Machine learning for auditors : automating fraud investigations through artificial intelligence / / Maris Sekar"]
[null,null,"Pubbl/distr/stampa",null,"New York, New York : , : Apress Media LLC, , [2022]"]
[{"$nulls":4},"©2022"]
[null,null,"ISBN",null,"1-4842-8051-2"]
[null,null,"Edizione",null,"[[First edition].]"]
[null,null,"Descrizione fisica",null,"1 online resource (241 pages)"]
[null,null,"Disciplina",null,"657.0285631"]
[null,null,"Soggetti",null,"Auditing, Internal - Data processing"]
[{"$nulls":4},"Corporations - Accounting - Data processing"]
[{"$nulls":4},"Fraud - Prevention"]
[{"$nulls":4},"Machine learning"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Includes index."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Part I. Trusted Advisors -- 1. Three Lines of Defense -- 2. Common Audit Challenges -- 3. Existing Solutions -- 4. Data Analytics -- 5. Analytics Structure & Environment -- Part II. Understanding Artificial Intelligence -- 6. Introduction to AI, Data Science, and Machine Learning -- 7. Myths and Misconceptions -- 8. Trust, but Verify -- 9. Machine Learning Fundamentals -- 10. Data Lakes -- 11. Leveraging the Cloud -- 12. SCADA and Operational Technology -- Part III. Storytelling -- 13. What is Storytelling? -- 14. Why Storytelling? -- 15. When to Use Storytelling -- 16. Types of Visualizations -- 17. Effective Stories -- 18. Storytelling Tools -- 19. Storytelling in Auditing -- Part IV. Implementation Recipes -- 20. How to Use the Recipes -- 21. Fraud and Anomaly Detection -- 22. Access Management -- 23. Project Management -- 24. Data Exploration -- 25. Vendor Duplicate Payments -- 26. CAATs 2.0 -- 27. Log Analysis -- 28. Concluding Remarks."]
[null,null,null,"Sommario/riassunto","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 "]
[{"$nulls":4},"your internal and external clients. A systematic process to verify your findings is also discussed to ensure the accuracy of your findings. Machine Learning for Auditors provides an emphasis on domain knowledge over complex data science know how that enables you to think like a data scientist. The book helps you achieve the objectives of safeguarding the confidentiality, integrity, and availability of your organizational assets. Data science does not need to be an intimidating concept for audit managers and directors. With the knowledge in this book, you can leverage simple concepts that are beyond mere buzz words to practice innovation in your team. You can build your credibility and trust with your internal and external clients by understanding the data that drives your organization. What You Will Learn Understand the role of auditors as trusted advisors Perform exploratory data analysis to gain a deeper understanding of your organization Build machine learning predictive models that detect fraudulent vendor payments and expenses Integrate data analytics with existing and new technologies Leverage storytelling to communicate and validate your findings effectively Apply practical implementation use cases within your organization Who This Book Is For AI Auditing is for internal auditors who are looking to use data analytics and data science to better understand their organizational data. It is for auditors interested in implementing predictive and prescriptive analytics in support of better decision making and risk-based testing of your organizational processes."]
[null,"3.","Record Nr.",null,"UNINA9910967716903321"]
[null,null,"Autore",null,"Lipschitz Leslie"]
[null,null,"Titolo",null,"A Real Model of Transitional Growth and Competitiveness in China / / Leslie Lipschitz, Genevieve Verdier, Celine Rochon"]
[null,null,"Pubbl/distr/stampa",null,"Washington, D.C. : , : International Monetary Fund, , 2008"]
[null,null,"ISBN",null,"9786612840548"]
[{"$nulls":4},"9781462317462"]
[{"$nulls":4},"1462317464"]
[{"$nulls":4},"9781452784403"]
[{"$nulls":4},"145278440X"]
[{"$nulls":4},"9781451869606"]
[{"$nulls":4},"1451869606"]
[{"$nulls":4},"9781282840546"]
[{"$nulls":4},"1282840541"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (36 p.)"]
[null,null,"Collana",null,"IMF Working Papers"]
[null,null,"Disciplina",null,"338.28394"]
[null,null,"Soggetti",null,"Economic development - China - Econometric models"]
[{"$nulls":4},"Investments, Foreign - China - Econometric models"]
[{"$nulls":4},"Aggregate Factor Income Distribution"]
[{"$nulls":4},"Exports and Imports"]
[{"$nulls":4},"Finance"]
[{"$nulls":4},"Foreign direct investment"]
[{"$nulls":4},"Geographic Labor Mobility"]
[{"$nulls":4},"Immigrant Workers"]
[{"$nulls":4},"Income economics"]
[{"$nulls":4},"Income"]
[{"$nulls":4},"International Investment"]
[{"$nulls":4},"Investments, Foreign"]
[{"$nulls":4},"Labor economics"]
[{"$nulls":4},"Labor Economics: General"]
[{"$nulls":4},"Labor mobility"]
[{"$nulls":4},"Labor"]
[{"$nulls":4},"Labour"]
[{"$nulls":4},"Long-term Capital Movements"]
[{"$nulls":4},"Macroeconomics"]
[{"$nulls":4},"Wages"]
[{"$nulls":4},"Wages, Compensation, and Labor Costs: General"]
[{"$nulls":4},"China Economic conditions Econometric models"]
[{"$nulls":4},"China Economic policy Econometric models"]
[{"$nulls":4},"China, People's Republic of"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","\"April 2008.\""]
[{"$nulls":4},"At head of title: IMF Institute."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (p. 28-30)."]
[null,null,"Nota di contenuto",null,"Contents; I. Introduction; II. Stylized Facts; III. Model; A. Households; B. Firms; C. Exogenous Shocks; D. Equilibrium; IV. Results; A. Calibration; B. Impulse Response Functions; C. Simulation; D. Transition to Steady State; V. Conclusion; Tables; 1. National Saving Rate, 2006; 2. Relative Hourly Wage in Manufacturing, Selected Economies, 2002; 3. Income of Urban and Rural Households and the Urban-Rural Gap (RMB); 4. Summary Indicators of Saving and Investment; Figures; 1. Net Capital Flows into China; 2. Saving and Investment; 3. Productivity Shock; 4. Foreign Interest Rate Schock"]
[{"$nulls":4},"5. Foreign Output Shock 6. Transition to Steady State when 10/l* = z0/z* = 0.9; 5. Convergence and Transition Half Life α = 1; 6. Convergence and Transition Half Life α = 1; 7. Simulation Results; References; Appendix"]
[null,null,null,"Sommario/riassunto","We present a stylized real model of the Chinese economy with the objective of explaining two features: (1) domestic production is highly competitive in the sense that an accumulation of capital that raises the marginal product of labor elicits increases in employment and output rather than only in wages; and (2) even though the domestic saving rate is high, foreign direct investment is also substantial. We explain these features in terms of a conventional neoclassical growth model-with no monetary or nominal exchange rate policy-by including two aspects of the economy explicitly in the model: (1) low production wages are sustained by a large reserve army of rural labor which drives internal migration, and (2) domestic capital is distinct from importable capital and complementary with it in production. The results suggest that underlying real phenomena are important in explaining recent history; while nominal renmimbi appreciation may dampen price and wage increases, it would probably not change the real factors that have sustained rapid growth."]