The March of the Machines: predictive models have broken out of the supply chain and are heading straight into marketing territory. By Steve King for The Drum
“A truly equal world would be one where women ran half our countries and companies and men ran half our homes” (Sandberg, 2013).
You can love it. If you choose to you can loathe it. But there’s one thing you definitely can’t afford to do with Black Friday and that’s ignore it.
Want to measure the effectiveness of your marketing communications? Here the Black Swan A-Team tells you how!
James “JT” Turner joins Black Swan as Chief Insight Officer, bringing close to 2 decades of research and insights experience to the data science and technology firm, to unlock a new cadre of analytic capabilities.
Everyone who has ever worked in Data or Social Listening been involved in building queries will hopefully relate to what I am about to write.
The 1st step in all the briefs we receive is to come up with a query that will enable us to retrieve all the data we need to surface insights.
The study of logic concerns the study of sentences (propositions in the lingo of logic) and whether they are true or false.
Black Swan’s Data Science Lead Architect Henrietta Eyre on the complexities of Sentiment Analysis, and how to build a sentiment classifier.
LANGUAGE GAMES WITH VAGUE CATEGORIES AND NEGATIONS.
Our amazing Data Scientist Henrietta Eyre recently had a research paper published in Adaptive Behavior, the official journal of the International Society of Adaptive Behavior.
With a background in theoretical physics, I naturally have a great fondness for theoretically interesting, but not necessarily practically useful, tasks.