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Big Data promises to deliver previously unknowable insights, undetectable trends, and knowledge hidden in plain sight.
Today, "big data" promises to enhance our ability to understand and even predict such responses.
The field of big data promises great opportunities but also entails some great risks of abuse and misuse.
This mass of data promises freedom, efficiency and power to the societies that know how to manipulate it.
In contrast to the a priori specification of design sets, an iteratively conducted model-based experimental design exploiting previous data promises significantly better results with lower effort.
Virtual integration of distributed patient data promises advantages over a consolidated health record, but raises questions mainly about practicability and authorization concepts.
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CAN the easy distribution of data promised by the Internet actually bring the type of scrutiny that ultimately leads to less information being available?
The data promised to them by VR (tele-conference meetings, games that portray our deepest desires, fears and fantasies) is everything they wish they could gather in the real world.
The data promise has been held out before.
Talk to an engineer, and the world is full of big data promise.
It's easy to see why this approach hasn't quite delivered on the big data promise.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com