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Our experts help you to understand the lessons learned from over 50 combined years of fraud experiences. Learn how good processes and internal controls can protect not only your organization, but also you as an individual. Obtain some practical tips on how you might prevent fraud in the future. Remember, it is not a question of “IF” fraud will occur in your organization, it is a question of “WHEN”. Are you prepared? Check out our Upcoming Events page for news and updates on our future seminars and webinars at http://www.macpas.com/events/. View a full recap of this webinar at http://www.macpas.com/webinar-cover-your-assets-asset-protection-trusts-and-the-vital-importance-of-trust-jurisdiction/
McKonly & Asbury Webinar - Fraud Not If, But When
McKonly & Asbury Webinar - Fraud Not If, But When
McKonly & Asbury, LLP
How to Detect & Prevent Fraud in SCM pdf
How to Detect & Prevent Fraud in SCM pdf
Reysun De Vera M.
This is IBM anti-fraud solutoions in GCG.
Ibm financial crime management solution 3
Ibm financial crime management solution 3
Sunny Fei
https://www.youtube.com/watch?v=eXtWRkfMisM Durante el 2012 el nivel de fraude en tarjeta de crédito llego a 11.3 billones de dólares, un aumento de casi un 15% comparado con el 2011, esto demuestra el problema que el fraude representa no solo a las instituciones financieras sino también para la sociedad. Tradicionalmente la prevención del fraude consistía en proteger físicamente la infraestructura, sin embargo con cada vez más medios y canales de pago, la información financiera se ha vuelto cada vez más susceptible a ser hurtada. La siguiente opción para prevenir y controlar el fraude consiste en determinar si una transacción está siendo realizada por el cliente de acuerdo con sus patrones históricos de comportamiento. Este es el enfoque de Fraud Analytics. En esta presentación se mostrara cómo es posible por medio de Fraud Analytics, determinar la probabilidad que una transacción sea o no realizada por el cliente, utilizando la información de compra de los clientes, sus interacciones con la entidad financiera, y por medio de análisis de redes sociales. Adicionalmente, se discutirán y compararan los resultados de las comúnmente utilizadas reglas de decisión y modelos avanzados de Machine Learning.
Fraud Analytics
Fraud Analytics
Big Data Colombia
AlgoCharge offers a web-based fraud management system that assists in credit card fraud detection & prevention with Geo-based filters. The system provides various levels of fraud protection to enhance acceptance rate & reduce the risk of charge-backs.
Credit card fraud detection
Credit card fraud detection
anthonytaylor01
This session will go into best practices and detail on how to architect a near real-time application on Hadoop using an end-to-end fraud detection case study as an example. It will discuss various options available for ingest, schema design, processing frameworks, storage handlers and others, available for architecting this fraud detection application and walk through each of the architectural decisions among those choices.
Fraud Detection Architecture
Fraud Detection Architecture
Gwen (Chen) Shapira
ACFE Presentation on Analytics for Fraud Detection and Mitigation
ACFE Presentation on Analytics for Fraud Detection and Mitigation
ACFE Presentation on Analytics for Fraud Detection and Mitigation
Scott Mongeau
Student Presentation on Real World Business Cases : BFSI Domain.
Fraud detection
Fraud detection
International School of Engineering
Recomendados
Our experts help you to understand the lessons learned from over 50 combined years of fraud experiences. Learn how good processes and internal controls can protect not only your organization, but also you as an individual. Obtain some practical tips on how you might prevent fraud in the future. Remember, it is not a question of “IF” fraud will occur in your organization, it is a question of “WHEN”. Are you prepared? Check out our Upcoming Events page for news and updates on our future seminars and webinars at http://www.macpas.com/events/. View a full recap of this webinar at http://www.macpas.com/webinar-cover-your-assets-asset-protection-trusts-and-the-vital-importance-of-trust-jurisdiction/
McKonly & Asbury Webinar - Fraud Not If, But When
McKonly & Asbury Webinar - Fraud Not If, But When
McKonly & Asbury, LLP
How to Detect & Prevent Fraud in SCM pdf
How to Detect & Prevent Fraud in SCM pdf
Reysun De Vera M.
This is IBM anti-fraud solutoions in GCG.
Ibm financial crime management solution 3
Ibm financial crime management solution 3
Sunny Fei
https://www.youtube.com/watch?v=eXtWRkfMisM Durante el 2012 el nivel de fraude en tarjeta de crédito llego a 11.3 billones de dólares, un aumento de casi un 15% comparado con el 2011, esto demuestra el problema que el fraude representa no solo a las instituciones financieras sino también para la sociedad. Tradicionalmente la prevención del fraude consistía en proteger físicamente la infraestructura, sin embargo con cada vez más medios y canales de pago, la información financiera se ha vuelto cada vez más susceptible a ser hurtada. La siguiente opción para prevenir y controlar el fraude consiste en determinar si una transacción está siendo realizada por el cliente de acuerdo con sus patrones históricos de comportamiento. Este es el enfoque de Fraud Analytics. En esta presentación se mostrara cómo es posible por medio de Fraud Analytics, determinar la probabilidad que una transacción sea o no realizada por el cliente, utilizando la información de compra de los clientes, sus interacciones con la entidad financiera, y por medio de análisis de redes sociales. Adicionalmente, se discutirán y compararan los resultados de las comúnmente utilizadas reglas de decisión y modelos avanzados de Machine Learning.
Fraud Analytics
Fraud Analytics
Big Data Colombia
AlgoCharge offers a web-based fraud management system that assists in credit card fraud detection & prevention with Geo-based filters. The system provides various levels of fraud protection to enhance acceptance rate & reduce the risk of charge-backs.
Credit card fraud detection
Credit card fraud detection
anthonytaylor01
This session will go into best practices and detail on how to architect a near real-time application on Hadoop using an end-to-end fraud detection case study as an example. It will discuss various options available for ingest, schema design, processing frameworks, storage handlers and others, available for architecting this fraud detection application and walk through each of the architectural decisions among those choices.
Fraud Detection Architecture
Fraud Detection Architecture
Gwen (Chen) Shapira
ACFE Presentation on Analytics for Fraud Detection and Mitigation
ACFE Presentation on Analytics for Fraud Detection and Mitigation
ACFE Presentation on Analytics for Fraud Detection and Mitigation
Scott Mongeau
Student Presentation on Real World Business Cases : BFSI Domain.
Fraud detection
Fraud detection
International School of Engineering
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