Data Works, Hadoop 3.0 is round the corner, and ‘Horton Hatches the Egg’

What's coming in Hadoop 3.0? How is Hortonworks' strategy evolving? And what are some examples of open-source powered innovation in big data use cases?
Read More →LinkedIn: Machine learning is like oxygen, but the human element is not going away anytime soon

How do data and machine-learning powered algorithms work to control newsfeeds and spread stories? How much of that is automated, how much should you be able to understand and control, and where is it all headed? LinkedIn has answers.
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 →Disrupting insurance: data-driven customer value

Why hasn't the insurance business been disrupted yet, and how could data be used to do this? Atidot has a go at addressing those questions.
Read More →Devs are from Mars, Ops are from Venus: Can analytics bridge the gap?

Despite what they'd have you believe, Devs and Ops don't always get along nicely. Pepperdata and LinkedIn think data and analytics may be the way to educate and show the impact of code running in production.
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 →MapR, DataStax offer options for container persistence

If it's lack of options for persistence that's keeping you from using containers, maybe it's time you reconsider.
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