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Cybersecurity Big Data Overload?

October 22, 2017

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Overview: The Cyber Big Data Conundrum Organizations are challenged with the spiraling overhead associated with storing and processing ever inflating sets of cybersecurity data. Many admit they are struggling to evidence improved security event detection and decision making. A growing realization is that big data must be turned into smart data: relevant, high-quality data which […]

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Cybersecurity Data Science: Adopting a Medical Paradigm

July 24, 2017

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An Uncomfortable Status Quo This month, barely eight weeks from the WannaCry ransomware outbreak, yet another destructive worm attack has disabled systems and compromised data globally: PetrWrap (AKA NotPetya, Nyetya, or GoldenEye). Beleaguered cybersecurity professionals have responded yet again with a flurry of patches and guidance to plug the holes. Based on trending events, there is […]

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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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SAS Forum Switzerland 2017

May 18, 2017

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Posting from SAS Forum Switzerland 2017 Lovely day in Zurich for SAS Forum Switzerland.  Hearing about the latest data analytics developments in Switzerland.  Topics and trends covered: Cloud & internet of things Risk, fraud, and compliance Customer analytics Big data & data science Today I will be presenting with my colleague Allan Russell on ‘Data […]

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Data Science – Tools and Methods: Practitioner Perspectives

April 20, 2017

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Data Science – Tools and Methods: Practitioner Perspectives Erasmus University Rotterdam lecture to Masters of Business and Information Management (BIM) students for Big Data and Business Analytics class. Wednesday, April 12th, 2017.  

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Getting Data Right

March 23, 2017

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Brief coverage of and link to O’Reilly ebook ‘Getting Data Right’

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Data Science Q&A on Quora

January 2, 2017

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Starting off with a bang in 2017, this past year I started using Quora, an online question and answer platform. There are a number of questions and answers related to data science/data analytics.  A few of these might be of interest to you as we ring-in 2017: What areas of data science or machine learning […]

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Why is ‘data scientist’ a contentious title?

September 30, 2015

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The Organizational Brain

In my work and university lecturing, I speak with many senior leaders, experienced professionals, young professionals, and students, many interested in either hiring, transitioning into, or becoming a ‘data scientist’.  The title, however, is quite contentious. Why is this?  Essentially, there is a great deal of confusion related to this new field, and it will take some time […]

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Fighting Fraud and Cyber Threats with the power of Network Analytics

February 6, 2015

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New blog post published for Deloitte – view original post: Both fraudsters and cyber attackers take advantage of an increasingly interconnected world to infiltrate and assault financial and virtual infrastructures. Especially sophisticated electronic interactions bind people together in complex, global networks. While such networks have created new opportunities for interaction and commerce, they have also […]

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Reblog: How to use phone calls and network analysis to identify criminals

January 13, 2015

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An excellent, hands-on demonstration of the power of social network analysis (SNA) via graph analytics to detect criminality from colleagues at Linkurious and a U.S.-based police detective: http://linkurio.us/how-to-use-phone-calls-and-network-analysis-to-identify-criminals/ SNA at times can seem too theoretical to stakeholders – this is an excellent example of a hands-on, engineering focused application with real practical value.  Applies Neo4J graph […]

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