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.
March 23, 2017
Getting Data Right
Brief coverage of and link to O’Reilly ebook ‘Getting Data Right’
January 10, 2017
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 […]
January 2, 2017
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 […]
March 22, 2016
Why BI projects fail – and the role of Data Architect
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.…
March 12, 2016
Data Science Brazil
Reaching out to the international data science community, I would like to take an opportunity to congratulate my colleague and co-data science advocate Higino Filho on the launch of Data Science Brazil. Data Science Brazil fills a much needed gap by providing a top-notch data science and big data hub for training, recruitment, and consultancy […]
September 30, 2015
Why is ‘data scientist’ a contentious title?
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 […]
July 13, 2015
Reblog: Machine learning overview with SAS software
Machine learning overview with SAS software. From a SAS colleague, Longhow Lam http://5.100.228.219/#portfolio
July 3, 2015
Reblog: HBR ‘Simplify Your Analytics Strategy’
SARK7: I often deal with companies interested in big data and analytics, but who are struggling to develop a strategy, especially the looming challenge of ‘where to start’. This is good guidance on HBR on setting a foundation for your analytics strategy… Originally posted at Harvard Business Review by Narendra Mulani on June 15, 2015 […]
April 29, 2015
Cognitive analytics: practitioner perspectives (RSM lecture)
With a number of recent Hollywood films representing intelligent machines as either hero or villain, the subject of Artificial Intelligence (AI) has attracted the imagination of the media and popular culture. On the practical engineering side, over the past decade humanity’s age-old dream of developing intelligent machines has experienced rapid development. The prospect of expert […]
April 20, 2017
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