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Cybersecurity Data Science (CSDS): How Not to Drown in Your Cyber Data Lake!

December 3, 2018

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Future Shock: Growing Vulnerabilities and Liabilities Cybersecurity data science (CSDS) brings hope to organizations challenged by evolving cyber threats. A rapidly developing field, CSDS utilizes advanced analytics to address security gaps in an increasingly data-driven, interconnected world. The consequences of ignoring security challenges are rising. According to the Cisco 2018 Annual Cybersecurity Report, over half of cyber-attacks resulted in […]

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Answers to Questions on Data Science (Quora)

October 21, 2018

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Data Science

Answers to Questions on Data Science (Quora) Quora (https://www.quora.com/) is a great platform to get direct answers from global voices on a broad range of topics. Over the past three years I have posted a number of answers to questions concerning data science: As a data scientist, what are some common misconceptions about what you […]

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Resolving Confusions: AI, Machine Learning, and Deep Learning

May 16, 2018

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SAS recently produced a helpful video to cut through the misunderstandings that have developed in the market concerning the distinctions between AI, machine learning, and deep learning (many marketers using the terms interchangeably) In summary: > AI is a term for a solution which often utilizes machine learning as a component method to emulate human […]

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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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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 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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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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