‘The “data dilemma” is what to do with the data,” as was noted at #LBF16’s seminar in the final hours of the fair.
Publishing’s Evolution Means You Need to Be Everywhere, Always
If the digital revolution has had one consequence, it means you need to make your books easily available and discoverable everywhere, always…but how?
How Big Data Helps Us Deal with More and More Books
Alejandro Piscitelli argues that machine driven book analytics is a practical tool to help society deal with the exponential increase in book publications.
Ebook Platforms Know What, When and How You Read
A panel at Digital Book World last week offered several insights on how ebook platforms are analyzing user data and what they have discovered.
A Data Scientist Explains Some Approaches to “Big Data”
Context is everything when it comes to analyzing data, says Hilary Mason. Are you selling a million copies of a book, or one copy of a million books?
How the New York Times Measures “Love”
The key to reader analytics in the newsroom at the New York Times is asking the right questions, says James Robinson.
CONTEC Conference 2014: Big Data’s Crystal Ball
At the Frankfurt Book Fair’s CONTEC conference, Viktor Mayer-Schönberger spoke about how big data can revolutionize publishers’ products, services and insights.
Creativity vs. Big Data? An Interview with Viktor Mayer-Schönberger
Oxford University professor Viktor Mayer-Schönberger offers a preview of his presentation on Big Data in Publishing, which he will deliver at the Frankfurt Book Fair’s CONTEC conference on October 7.
Stanford Literary Lab Applies “Big Data” to Reading
The Stanford Literary Lab, which uses big data to analyze novels and literature, now believes that data mining has potential to change the way we approach reading.