SCTR7: Data Science and Analytics

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 […]

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 […]

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 […]

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, […]

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 […]

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.  

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

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 […]

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 […]

Originally posted on viveksingh36:
During my long stint as business intelligence professional, I have seen many projects fail and of course, smelled some success. Let’s see what is common among successful projects and the unsuccessful ones. Organisation Structure: Unlike other IT  engineering projects, Business Intelligence projects need strong business interface – a make or break for BI project.…