Big Data versus money laundering: Machine learning, applications and regulation in finance
Could financial fraud such as the Laundromat be avoided by applying machine learning to scan through data? And if yes, why is that not happening?
Read More →Media hype and moral panic: fake news and populism in the Netherlands
What led towards an election result that did not live up to Geert Vilders’ hopes and everyone else’s fears? Where does fake news fit in this picture, and what lessons are there to be learned? As an expat who has lived and worked in the Netherlands for 3 full years by choice, speaks the language […]
Read More →How to use blockchain to build a database solution
Why would you want to use blockchain to build a database solution? And how would you actually do that? BigchainDB has answers.
Read More →Artificial intelligence in the real world: What can it actually do?
What are the limits of AI? And how do you go from managing data points to injecting AI in the enterprise?
Read More →Streaming hot: Real-time big data architecture matters
What is streaming in big data processing, why you should care, and what are your options to make this work for you?
Read More →Mix and match analytics: data, metadata, and machine learning for the win
Creating winning analytics solutions means combining and making the most of different approaches and techniques. Taking a look at how Google does this for YouTube can provide inspiration and set a framework for analytics solutions.
Read More →Googling prescriptive analytics: YouTube recommendations and the analytics continuum
Understanding prescriptive analytics is complicated, let alone implementation. Would turning to Google help? Seeing how it works for Google raises questions, but may also lead to some answers.
Read More →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 are hard. Of course, this is different — because big data.
Read More →Why finance craves big data: A perfect storm of disruption and opportunity
The financial services domain, where real-time is measured in milliseconds, holds particular interest for big data applications and vendors for a number of reasons: architecture, regulation, transparency, decision-making, and the need for speed.
Read More →Predictive analytics and machine learning: A dynamic duo
Predictive analytics and machine learning are seen as the pair of tools to save the day for most organizations currently. We try to de-mystify both, taking a look at what they are, how they work, and what they are good for.
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