March 16, 2019

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Dataversity: Cybersecurity Data Science – Minding the Growing Gap

See full article on Dataversity  By Scott Mongeau on March 8, 2019 Following cybersecurity Data Science best practices can help beleaguered and resource-strapped security teams transform Big Data into smart data for better anomaly detection and enterprise protection. Future Shock: Growing Vulnerabilities and Liabilities The consequences of ignoring security challenges are rising. According to the Cisco 2018 Annual Cybersecurity […]

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May 16, 2018

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Resolving Confusions: AI, Machine Learning, and Deep Learning

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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October 22, 2017

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Cybersecurity Big Data Overload?

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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July 24, 2017

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Cybersecurity Data Science: Adopting a Medical Paradigm

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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June 6, 2017

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Data Science for Cyber Risk Management (PRMIA)

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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May 18, 2017

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SAS Forum Switzerland 2017

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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April 20, 2017

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Data Science – Tools and Methods: Practitioner Perspectives

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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March 23, 2017

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Getting Data Right

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

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January 10, 2017

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

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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January 2, 2017

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Data Science Q&A on Quora

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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