AI / Machine Learning

Googling prescriptive analytics: YouTube recommendations and the analytics continuum

Understanding prescriptive analytics is complicated, let alone implementation. Would turning to Google help? Seeing how…

Jan 6, 2017

Big Data, Crystal Balls and Looking Glasses: Reviewing 2016, predicting 2017

End-of-year reviews are boring — and everyone does them. Predictions are boring — and they…

Dec 29, 2016

Predictive analytics and machine learning: A dynamic duo

Predictive analytics and machine learning are seen as the pair of tools to save the…

Dec 5, 2016

Birst-ing into mainstream: Machine Learning meets Semantics in a networked world

Birst is one of the poster children of self-service analytics. Convergence and democratization are the…

Nov 29, 2016

Data to analytics to AI: From descriptive to predictive analytics

Artificial Intelligence (AI) seems to be the buzzword du jour for organizations, but this is…

Nov 23, 2016

Data / Analytics / Data Science

Sparkier, faster, more: Graph databases, and Neo4j, are moving on

New players, new features, platforms, and ticking boxes. Let’s talk graph with Neo4j. A lot…

Oct 24, 2017

A rock and a hard place: Between ScyllaDB and Cassandra

How many NoSQL databases does the world really need, and how easily would you switch…

Oct 24, 2017

Keep on Uberin the free world

Uber is still operating in London, in you case you did not notice. Uber will…

Oct 9, 2017

Data lakes going the way of the visual spreadsheet?

If you’re a spreadsheet kind of person with a ton of data sitting in a…

Sep 26, 2017

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