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Data Science for Cyber Risk Management (PRMIA)

June 6, 2017

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Cyber threat actors exploit increasingly interconnected networks to infiltrate infrastructure and compromise digital assets. While prolific networks and digitization drive interactivity, thereby opening new opportunities for collaboration, open channels also increase the scope and scale of potential cyber risks. Beyond compromised intellectual property and regulatory strictures, reputational damage can result in customer and partner attrition, […]

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Data Science for Cyber Security? Challenges and Opportunities from FloCon 2017

January 10, 2017

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Blogging from FloCon cyber security conference in San Diego #FloCon17 Although not a morning person by nature, the early 7 am kick-off session was quite painless as I am still jet lagged on Amsterdam time (+9 hours, making this an easy 4pm session!). While I was aware of a range of Linux-based open source tools for […]

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Much ado about a dress: how perception skews interpretation

March 1, 2015

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This week generated a meme which nearly melted the internet: the case of the gold or blue dress. A picture of dress worn at a wedding was seen by some people as being gold and white and others as blue and black. A riotous global argument that cast friends and lovers against one another ensued. While […]

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Manager-machine: analytics, artificial intelligence, and the uncertain future of management

October 7, 2014

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Manager-Machine

As many traditional industrial age business functions become subject to disintermediation by automation and expert analytics systems, new industries and value propositions will need to be framed by an emerging generation of leaders.

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Fraud analytics: collected links

October 1, 2014

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Recent collected posts and links to fraud detection and mitigation items: Network analytics for fraud detection & mitigation (video demostration) Part 1 video demo Part 2 video demo Semantics analytics lecture (Erasmus RSM) Demonstration of semantic analytics (video demonstration) Blog post Excuse me, do you speak fraud? Blog post Network analytics for fraud detection Blog post Network analytics: more than […]

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Predictive policing: the brave new age of law enforcement analytics

September 5, 2014

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In the mid-1980’s I worked as an information analyst / data manager in a police station in a small town in New England (northeast U.S.).  It was a strange but exciting experience for a young man, chosen simply as I was identified as the local ‘computer geek’ at the town high school (a small and […]

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Excuse me, do you speak fraud?

August 18, 2014

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Excuse me, do you speak fraud? Network graph analysis for fraud detection and mitigation by Scott Mongeau Executive summary Network analysis offers a new set of techniques to tackle the persistent and growing problem of complex fraud. Network analysis supplements traditional techniques by providing a mechanism to bridge investigative and analytics methods. Beyond base visualization, […]

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Network analytics: more than pretty pictures

August 14, 2014

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Network analysis is a rapidly growing analytics domain propelled by the explosion of interest in social networking. The methods rest upon much older foundations in the realms of statistics and social science. Euler’s graph theory was proposed in the early 18th century and Moreno established the foundations for social network analysis (SNA) in the 1930’s. Want […]

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When analytics fails: fueled by randomness

July 15, 2014

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Fueled by randomness

As an analytics professional, it may perhaps be no surprise that I believe in a world which is susceptible to analysis – a world which yields to scientific inquiry. Further, I believe that if we invest effort, if we exert what Kahneman would call our System 2, we can improve decisions and overcome our tendency […]

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The Cutting Edge: Network Analytics for Financial Fraud Detection and Mitigation

June 27, 2014

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The application of network analysis to the growing challenge of fraud and financial crime is a fast emerging advanced data analytics frontier. As any good fraud investigation knows, fraud and financial crime are as much deep social phenomenon as aspects of financial transactions gone awry. Thus the application of social network analysis is able to […]

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