Using Big Data to Detect & Reduce Fraud | |||
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Fraud is a collaborative criminal issue that requires a collaborative response and so Big Data can have a significant role in enabling organisations to detect and prevent criminal activity. Delegates of this master class will be introduced to the current fraud and cybercrime landscape which is having an impact to both public and private sector organisations worldwide. Through a series of interactive discussions delegates will learn how the proceeds of fraud is funding global criminal activity and understand the motivations behind the networks that are collaboratively causing disruption to websites, business operations, and critical infrastructure. There are many challenges in ensuring that organisations are sufficiently equipped to deal with big data in the context of fraud prevention. From a legal and regulatory perspective there are complex considerations to understand when it comes to implementing solutions. Working under the Chatham House rule, attendees will be encouraged to share experiences on various aspects including detection, prevention, tools and intelligence sharing. |
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Location London, UK | |||
Additional Information about this event: |
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Wednesday 09 April 2014 | |||
Official Event Website: more info | |||
Number of expected attendees: Not defined | |||
This event has an exhibit: Not defined | |||
YouTube Video for this event: | |||