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  2. KPMG tax shelter fraud - Wikipedia

    en.wikipedia.org/wiki/KPMG_tax_shelter_fraud

    The KPMG tax shelter fraud scandal involved illegal U.S. tax shelters by KPMG that were exposed beginning in 2003. In early 2005, the United States member firm of KPMG International, KPMG LLP , was accused by the United States Department of Justice of fraud in marketing abusive tax shelters .

  3. UPDATE 3-KPMG fined $50 mln for using stolen data, exam fraud ...

    www.aol.com/news/1-kpmg-pay-50-mln-145001190.html

    KPMG LLP has agreed to pay a $50 million fine over allegations former staffers used stolen information to alter some of the accounting firm's previous audit work and cheated on training exams, the ...

  4. Artificial intelligence in fraud detection - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_in...

    It is widely used in the financial sector, especially by accounting firms, to help detect fraud. In 2022, PricewaterhouseCoopers reported that fraud has impacted 46% of all businesses in the world. [1] The shift from working in person to working from home has brought increased access to data.

  5. Financial Intelligence & Processing - Wikipedia

    en.wikipedia.org/wiki/Financial_Intelligence...

    Financial Intelligence & Processing (FIP) is an international firm based in Paris offering financial and business intelligence. In 2011 and 2012, FIP was listed among the top experts of financial fraud investigation in France, just after KPMG, as assessed by Décideurs Stratégie Finance Droit in the "Risk Management, Insurance and Litigation" yearly guide.

  6. Aiding 'organized crime': India alleges 22 audit ... - AOL

    www.aol.com/news/aiding-organized-crime-india...

    India detected at least 22 violations of auditing standards by Deloitte Haskins & Sells and a KPMG affiliate while investigating a fraud at a financial company, leading it to seek a five-year ban ...

  7. Data analysis for fraud detection - Wikipedia

    en.wikipedia.org/wiki/Data_analysis_for_fraud...

    Fraud detection is a knowledge-intensive activity. The main AI techniques used for fraud detection include: . Data mining to classify, cluster, and segment the data and automatically find associations and rules in the data that may signify interesting patterns, including those related to fraud.

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