DataOps: Changing the world one organization at a time
Uncertain about the benefits of going data-driven? Not sure how to get there? Here's some advice from the people who built Facebook's data infrastructure
Read More →Planet analytics: big data, sustainability, and environmental impact
What is the relation between big data applications and sustainability? What is the net effect of improved efficiency versus increased resource consumption, who gets to measure this, and how?
Read More →Language agnostic document processing: Finding relations using statistics, machine learning, and graphs
Would you like to be able to find related work regardless of domain or language, more efficiently than you ever thought possible? Omnity is out to help achieve this, using a mix of techniques.
Read More →Please wait while your future trickles down: innovation, asymmetry and evolution
If you believe the technologists, the future is around the corner and it’s going to be perfect. But is more technology really the answer to every problem? The future’s so bright, i gotta wear shades Do you know what CeBIT is? Chances are you do, because here you are reading this. This means you have […]
Read More →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.
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