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  2. 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. Expert systems to encode expertise for detecting ...

  3. Entity-level control - Wikipedia

    en.wikipedia.org/wiki/Entity-Level_Control

    Development. Misconduct. v. t. e. An entity-level control is a control that helps to ensure that management directives pertaining to the entire entity are carried out. These controls are the second level [clarification needed] to understanding the risks of an organization. Generally, entity refers to the entire company.

  4. Securities fraud - Wikipedia

    en.wikipedia.org/wiki/Securities_fraud

    In microcap fraud, stocks of small companies of under $250 million market capitalization are deceptively promoted, then sold to an unwary public. This type of fraud has been estimated to cost investors $1–3 billion annually. [19] Microcap fraud includes pump and dump schemes involving boiler rooms and scams on the Internet.

  5. How accurate and effective are chatbots, and when should ...

    www.aol.com/news/accurate-effective-chatbots...

    Chatbots are computer programs designed to simulate conversation with humans online. While ChatGPT is the most popular of them, Google, Microsoft and other developers have also begun offering ...

  6. Anomaly detection - Wikipedia

    en.wikipedia.org/wiki/Anomaly_detection

    Anomaly detection finds application in many domains including cybersecurity, medicine, machine vision, statistics, neuroscience, law enforcement and financial fraud to name only a few. Anomalies were initially searched for clear rejection or omission from the data to aid statistical analysis, for example to compute the mean or standard deviation.

  7. Sarbanes–Oxley Act - Wikipedia

    en.wikipedia.org/wiki/Sarbanes–Oxley_Act

    The Sarbanes–Oxley Act of 2002 is a United States federal law that mandates certain practices in financial record keeping and reporting for corporations.The act, Pub. L. Tooltip Public Law (United States) 107–204 (text), 116 Stat. 745, enacted July 30, 2002, also known as the "Public Company Accounting Reform and Investor Protection Act" (in the Senate) and "Corporate and Auditing ...

  8. Operational risk - Wikipedia

    en.wikipedia.org/wiki/Operational_risk

    Operational risk is the risk of losses caused by flawed or failed processes, policies, systems or events that disrupt business operations. Employee errors, criminal activity such as fraud, and physical events are among the factors that can trigger operational risk. The process to manage operational risk is known as operational risk management.

  9. Business Model Canvas - Wikipedia

    en.wikipedia.org/wiki/Business_Model_Canvas

    The Business Model Canvas is a strategic management template used for developing new business models and documenting existing ones. [2] [3] It offers a visual chart with elements describing a firm's or product's value proposition, [4] infrastructure, customers, and finances, [1] assisting businesses to align their activities by illustrating potential trade-offs.